Proof is looking for a Data Analyst to join its team. Data Analyst | Remote (United States) | Full-time We are seeking an organized, motivated professional to support teams with accurate analysis and useful reporting. The role emphasizes practical reporting, data accuracy, and decision-support analysis. You will collaborate remotely, document your work, and raise questions when information is unclear. Key Responsibilities <ul><li>Use basic SQL queries or comparable tools to answer specific business questions.</li><li>Work with stakeholders to clarify definitions and reporting expectations.</li><li>Prepare simple trend comparisons and periodic performance summaries.</li><li>Explain key observations and limitations in clear, accessible language.</li><li>Help improve routine reporting templates and data collection processes.</li><li>Protect sensitive business data under established access procedures.</li><li>Collect and combine information from approved reports and source systems. </li></ul>Qualifications <ul><li>Comfort interpreting charts, tables, and basic performance metrics.</li><li>Organized documentation and version-control habits.</li><li>Introductory SQL knowledge or a willingness to develop it.</li><li>Ability to manage priorities and meet routine reporting deadlines.</li><li>Respect for confidential information and approved data practices. </li></ul>This associate-level opportunity emphasizes demonstrated ability and learning rather than lengthy prior tenure. Work arrangement: Remote within the United States. Employment type: Full-time. Experience level: Associate.

Data Analyst

About UsHungryroot is using AI to build the most consumer-centric food and wellness company to ever exist. We act as your personal assistant for healthy living&#x2014;getting to know your goals, lifestyle, and budget, and recommending and delivering healthy groceries, easy recipes, and essential supplements for you and your family. It&#x2019;s the easiest way to eat healthy, achieve your goals, save time, and discover new foods. We believe food is the foundation of health, convenience should not mean compromise, and that everyone is unique in how they eat and live. That&#x2019;s why we&#x2019;re building a future in which healthy living is both easy and enjoyable. Hungryroot is a distributed team of top talent across 28+ U.S. states. While we have a headquarters in New York City, our remote-first culture emphasizes collaboration, team-building, and flexibility. Expect regular virtual team events, strong ownership and accountability, and an annual company retreat. About the RoleHungryroot is seeking a highly-motivated, strategic and data-driven Senior Analyst, Pricing and Business Analytics to lead Pricing analytics and contribute to our core business performance reporting. You will work closely with the Finance and Product teams to measure the impact of pricing initiatives on financial performance and retention. This is a high impact, high visibility role for someone with deep pricing experience from creating reporting structures to sharing insights with executive audiences. You will also have a hand in analyzing overall business performance and maintaining our high standard of KPI reporting. This role sits within the Analytics &amp; Finance team, which owns central analytics, strategic insights, and key performance metrics across the business. We&#x2019;re a detail-oriented, analytical group that supports leadership with clear, data-driven guidance&#x2014;combining historical trends and forward-looking analysis to drive decision-making. We thrive on solving complex problems and turning data into actionable insights. Important: This is a hands-on role! At Hungryroot, we are all technical individual contributors in our respective fields and as such, this role requires a deep understanding of complex SQL queries and pricing models. Responsibilities<ul><li>Partner with the Product team to design and proactively propose new pricing experiments. Recommend next steps based on findings.</li><li>Synthesize and present pricing experiment findings and financial impact with the Product team and leadership.</li><li>Build in-depth reporting to measure pricing performance and quantify impact on business KPIs and financial results.</li><li>Identify core KPI trends and changes (pricing-related or otherwise), and run follow-up analyses to understand the drivers.</li><li>Maintain KPI metric datasets and build automations and AI tooling to enable efficient reporting and self-service insights.</li></ul> Qualifications<ul><li>2-5 years of experience in strategic and pricing analytics (developing pricing models, analyzing pricing A/B tests)</li><li>Experience analyzing A/B tests and familiar with experimentation best practices</li><li>Advanced SQL skills, with an ability to create new tables / schemas on an ad hoc basis</li><li>Strong analytical skills and problem-solving capabilities</li><li>Exceptional communication and presentation skills with the ability to effectively communicate insights and information to our most senior executives</li><li>Experience using and building dashboards in Looker or similar BI tool</li><li>Proven experience using AI (e.g., ChatGPT/Claude, Cursor, Looker AI, or similar) to accelerate and QA analysis, or build lightweight automations.</li><li>Hyper organized; self-driven motivation with a high degree of organization, efficiency, and attention to detail</li><li>Bachelor&#x2019;s Degree</li></ul> Nice to Have<ul><li>D2C experience at a subscription-based company</li><li>Python</li></ul> Perks &amp; Benefits<ul><li>Remote-first: work from home, work from our NYC office, work from anywhere in the U.S. - you decide!</li><li>Equity</li><li>Unlimited vacation policy</li><li>Universal paid parental leave</li><li>Monthly Hungryroot credit for delicious, healthy groceries</li><li>Comprehensive health, vision, dental, and life insurance</li><li>Wellbeing benefits</li><li>401k with match</li><li>A work from home stipend to support your initial home-office setup</li></ul> Expected Salary Range:$110,000 - $125,000 USD The employer will not sponsor applicants for work visas. Our mission to help make healthy eating easy, accessible, and joyful is better served by a diverse workplace. We are a proud Equal Opportunity Employer committed to building an inclusive workplace. We have zero-tolerance for harassment or discrimination. We do not discriminate on the basis of any protected class.

Senior Analyst,  Pricing and Business Analytics

<a href="https://jobicy.com/company/luxury-presence" target="_blank" rel="noopener">Luxury Presence</a> is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business.

<h3>Why This Role Matters</h3>
Our GTM Analytics team owns the metrics that run the business for Sales, Marketing, and Client Success. We're past the phase of standing up basic reporting — we're now building a modern, agentic analytics practice, including Lighthouse, our internal BI-as-code platform, where dashboards, metrics, and semantic definitions live in version-controlled code rather than scattered across disconnected tools.
This role is a chance to shape that next chapter. You'll partner directly with Sales, Marketing, and CS leaders to answer their hardest questions about pipeline, funnel conversion, campaign performance, and retention, while helping build the infrastructure and AI-forward workflows that let the whole GTM org get trustworthy answers faster.
You'll report to our Senior Manager of Analytics and work in tight, two-week sprints alongside Analytics Engineering, so you'll see your work ship and get used — fast.
<h3>What You'll Do</h3>
<h3>GTM Analysis &amp; Decision Support</h3>
<ul>
<li>
Deliver decision-ready analysis across Sales, Marketing, and Client Success: pipeline health, funnel conversion, campaign and channel performance, cohort/retention, and GRR/NRR drivers.
</li>
<li>
Partner directly with Sales, Marketing, and CSM stakeholders to scope questions, frame recommendations, and see analysis through to a decision — not just a dashboard handoff.
</li>
<li>
Bring structure to ambiguous asks — translate a stakeholder's question into a clear, testable analytical approach.
</li>
</ul>
<h3>Data Modeling &amp; Quality</h3>
<ul>
<li>
Build and maintain dbt models and marts for Sales, Marketing, and CS domains, with Salesforce as a core source system.
</li>
<li>
Own data quality and documentation for your domain: clear definitions, source-of-truth tables, and QA that stakeholders can trust without double-checking.
</li>
</ul>
<h3>Lighthouse &amp; Agentic Analytics</h3>
<ul>
<li>
Contribute to Lighthouse, our BI-as-code platform, as we build it out — help define how dashboards, metrics, and semantic models get written, versioned, and reviewed like software.
</li>
<li>
Note: Lighthouse is an active build, not a finished platform — you'll be shaping it, not just using it.
</li>
<li>
Push our analytics workflows toward agentic AI: using AI agents to accelerate analysis, automate recurring reporting, and cut down on manual, one-off dashboard requests.
</li>
<li>
Bring a point of view on where AI can replace manual analyst work versus where it can't — you should be as comfortable prompting and evaluating an agent as writing the SQL yourself.
</li>
</ul>
<h3>How You'll Work</h3>
<ul>
<li>
Operate in two-week sprints, planning and prioritizing your own backlog against team OKRs alongside your manager.
</li>
<li>
Give clear, proactive status updates to stakeholders rather than waiting to be asked.
</li>
</ul>
<h3>What We're Looking For</h3>
<h3>Experience</h3>
<ul>
<li>
5+ years in analytics/BI, with meaningful time supporting Sales, Marketing, or Customer Success functions at a fast-growing company. Staff-level candidates should bring deeper scope — larger or more ambiguous problems owned end-to-end, and a track record of setting technical direction, not just executing against it.
</li>
<li>
Expert SQL and hands-on dbt experience modeling GTM data.
</li>
<li>
Comfortable with Python for analysis and automation — this isn't a heavy ML/stats role, but you know how to script your way out of manual work.
</li>
<li>
Experience with Salesforce as a data source — you understand CRM objects, fields, and the quirks of modeling data.
</li>
<li>
Familiarity with a modern data stack: Fivetran or similar EL tooling, and a cloud warehouse (we run Snowflake; BigQuery experience also welcome).
</li>
</ul>
<h3>BI &amp; AI Fluency</h3>
<ul>
<li>
Experience with at least one modern BI tool (Sigma, Hex, Tableau, Looker, or similar) is a strong plus, not a hard requirement — what matters more is that you understand how modern BI organizations operate: governed semantic layers, self-serve dashboards, and BI-as-code approaches.
</li>
<li>
Genuine curiosity about agentic analytics — you've used AI agents or LLM tools to speed up analysis, and you want to help define what that looks like at scale.
</li>
<li>
We build with Claude day-to-day, so hands-on experience with Claude Code (or a similar coding agent like Codex) is a big plus — you'll use it to move faster on dbt models, scripting, and analysis, not just as a novelty.
</li>
</ul>
<h3>Mindset</h3>
<ul>
<li>
Strong communicator who can frame a recommendation clearly for a non-technical stakeholder and defend it under questioning.
</li>
<li>
Comfortable with the accountability of owning a deliverable through to closure, not just the analysis in the middle.
</li>
<li>
Energized by ambiguity and fast iteration — two-week sprints mean you'll ship early and often.
</li>
</ul>
<h3>Compensation</h3>
<h3>Additional Information</h3>
Join us in shaping the future of real estate
The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages.
We're a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets. From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition.
Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We're backed by world-class investors, including Bessemer Venture Partners, NextEquity Partners, Toba Capital, and Switch Ventures, and have raised $89 million to date.
More than 18,000 real estate businesses rely on our platform, including 30% of the Wall Street Journal RealTrends top agents and teams. Additionally, many of the industry's most powerful brokerages rely on Luxury Presence as a trusted business partner.
Every year since 2020, Luxury Presence has ranked on BuiltIn's Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we've received several Tech100 Awards, and we just scored an Inman Innovation Award for Best AI-Powered Platform.
Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Senior Data Analyst, GTM Analytics - US

<div class="content-intro">Who we are&nbsp;
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to<a class="c-link" href="https://customers.twilio.com/" target="_blank" data-stringify-link="https://customers.twilio.com/" data-sk="tooltip_parent">&nbsp;hundreds of thousands of businesses&nbsp;</a>and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to <a class="c-link" href="https://www.twilio.com/en-us/blog/open-work" target="_blank" data-stringify-link="https://www.twilio.com/en-us/blog/open-work" data-sk="tooltip_parent">remote-first work</a>, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. .
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!&nbsp;
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.&nbsp; .</div>
<div>See yourself at Twilio</div>
<div>Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team.</div>
<div>&nbsp;</div>
<div>About the job</div>
<div>We are actively recruiting for this role to fill an existing vacancy. This position is needed to build the foundational AI/ML capabilities and common platform tooling that power intelligent engagement experiences across Twilio. You will influence the design and evolution of our company-wide ML/AI Ops foundation, ensuring every AI capability incorporates rigorous offline and online evals to maintain exceptionally high quality.</div>
<div>&nbsp;</div>
<div>You will drive improvements to managing LLM workloads across the company, while ensuring easy and compliant access to data for AI/ML exploration and product development. This role requires a builder mindset to bridge theoretical research, production-grade experimentation, and scalable, enterprise-quality software.</div>
<div>&nbsp;</div>
<div>Responsibilities</div>
<div>In this role, you’ll:</div>
<ul>
<li>Conduct deep-dive research into and implement state-of-the-art LLM inference and orchestration.</li>
<li>Identify opportunities to leverage small language via fine-tuning/distillation.</li>
<li>Build ML systems that hold up at Twilio scale.&nbsp;</li>
<li>Set standards and tooling for building evals across a range of AI/ML capabilities.</li>
<li>Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment.</li>
<li>Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation.</li>
</ul>
<div>&nbsp;</div>
<div>Qualifications&nbsp;</div>
<div>Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!</div>
<div>&nbsp;</div>
<div>*Required:</div>
<ul>
<li>8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design.</li>
<li>Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action.</li>
<li>Proficiency in Python programming language.</li>
<li>Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores.</li>
<li>Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs.&nbsp;</li>
<li>Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale.</li>
<li>Strong communication skills and highly effective collaborator who works well with teammates.</li>
<li>Familiarity with AI-assisted development tools (e.g., Claude, Codex, GitHub Copilot, Cursor, etc.).</li>
</ul>
<div>&nbsp;</div>
<div>Desired:</div>
<ul>
<li>Prior experience building evals for autonomous agents and large language models.&nbsp;</li>
<li>Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency.</li>
<li>Prior experience working in a globally distributed team.</li>
<li>Evidence of technical leadership/impact, such as contributions to open-source data/ML projects and/or published technical presentations, blog posts, papers, or research.</li>
</ul>
<div>&nbsp;</div>
<div>Location</div>
<div>This role will be remote and based in Ontario, British Columbia or Alberta, Canada.&nbsp;</div>
<div>&nbsp;</div>
<div>Travel&nbsp;</div>
<div>We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.</div>
<div>&nbsp;</div>
<div>What We Offer</div>
<div>Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off.</div>
<div>&nbsp;</div>
<div>The estimated pay ranges for this role are as follows:</div>
<ul>
<li>$160,320 - $200,400</li>
<li>Target Bonus Percentage 12.5%</li>
</ul>
<div>&nbsp;</div>
<div>The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.&nbsp;</div>
<div class="content-conclusion">Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call <a href="https://www.twilio.com/company/values">Twilio Magic</a>. Additionally, we empower employees to build <a href="https://twilio.org/support-and-resources/impact-fund">positive change in their communities</a> by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, <a href="https://www.twilio.com/company/jobs#open-positions">please consider other open positions.</a>
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @<a href="http://twilio.com">twilio.com</a> email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . 
Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.</div>

Staff Machine Learning Engineer

<div class="content-intro"><div class="c-message_kit__blocks c-message_kit__blocks--rich_text">
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<div class="p-rich_text_section">Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a class="c-link" href="http://www.redditinc.com/" target="_blank" data-stringify-link="http://redditinc.com" data-sk="tooltip_parent">www.redditinc.com</a>.</div>
</div>
</div>
</div>
</div>
</div></div>Team Description:
The Ads Retrieval ML team builds the machine learning systems that identify relevant advertising candidates for Reddit users. Retrieval sits at the heart of the ads delivery funnel: before downstream ranking and auction decisions, our models determine which campaigns and ads are eligible to compete. We work on large-scale retrieval across multiple objectives, placements, and geographies. Our work combines representation learning, candidate generation, nearest-neighbor search, behavioral and contextual signals, and rigorous offline and online experimentation.
Role Description:
We are looking for a Staff Machine Learning Engineer to provide technical leadership for the Retrieval and Targeting ML team. You will lead the design and evolution of retrieval models and modeling practices that improve relevance, advertiser outcomes, and user experience at Reddit scale. This is an applied ML role centered on retrieval modeling and end-to-end product impact. You will be expected to stay close to the technical details—from data and objective design through model development, evaluation, experimentation, and launch—while setting direction for other engineers.&nbsp;
Responsibilities:
<ul>
<li>Define the technical direction and multi-year roadmap for ads retrieval modeling in partnership with engineering, product, data science, and ads stakeholders.</li>
<li>Design, develop, and launch candidate-generation and retrieval models for campaigns and ads across Reddit’s advertising surfaces.</li>
<li>Apply modern approaches such as two-tower architectures, representation learning, embeddings, sequence models, graph-based methods, and other deep learning techniques when they create meaningful product value.</li>
<li>Improve the retrieval stack across key modeling decisions, including objectives, labels, sampling strategies, hard-negative mining, feature design, embedding generation, candidate filtering, and retrieval depth.</li>
<li>Work with approximate nearest-neighbor and vector retrieval systems, reasoning about recall, relevance, freshness, diversity, coverage, latency, and cost trade-offs.</li>
<li>Establish strong evaluation practices that connect retrieval metrics—such as recall, precision, candidate coverage, calibration, and downstream lift—to ads and user outcomes.</li>
<li>Lead offline analysis and online experiments, interpret ambiguous results, and translate findings into the next modeling iteration.</li>
<li>Partner with downstream ranking, ads platform, auction, measurement, and product teams to ensure retrieval models integrate effectively into the full ads funnel.</li>
<li>Write design documents, review code and model changes, and raise the quality bar for modeling, testing, observability, and production ownership.</li>
<li>Mentor ML engineers and help grow the team’s expertise in retrieval, recommendation, and representation learning.</li>
</ul>
Required Qualifications:
<ul>
<li>7+ years of industry experience, including substantial experience building and shipping applied ML products.</li>
<li>Deep experience with information retrieval, candidate generation, recommender systems, ranking, or related relevance problems.</li>
<li>Strong understanding of retrieval modeling concepts, including DNN, embeddings, two-tower or dual-encoder models, approximate nearest-neighbor search, and multi-stage retrieval.</li>
<li>Deep experience training, evaluating, debugging, and deploying deep learning models using TensorFlow, PyTorch, or similar frameworks.</li>
<li>Demonstrated ownership of ML projects from problem framing and data preparation through offline evaluation, online experimentation, production launch, and iteration.</li>
<li>Strong command of experimental design and model evaluation, including how offline retrieval metrics relate to downstream business and user metrics.</li>
<li>Experience working with large-scale behavioral, contextual, or content datasets and complex feature pipelines.</li>
<li>Strong software engineering fundamentals and the ability to write clear, reliable, maintainable production code.</li>
<li>Technical leadership experience: setting direction, leading complex projects, influencing partner teams, and mentoring other engineers.</li>
<li>Excellent written and verbal communication, with the ability to explain complex modeling choices to technical and non-technical audiences.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience with ads retrieval, ads ranking, ad targeting, ad serving, recommendation, search relevance, or marketplace optimization</li>
<li>Experience modeling user, content, campaign, or ad interactions with sequential, graph, or multimodal signals</li>
<li>Experience connecting retrieval improvements to downstream ranking, auction, conversion, revenue, or user-experience outcomes</li>
<li>Experience in ads marketplaces at peer companies</li>
<li>Publications, patents, or industry contributions in applied ML or ranking systems</li>
<li>Experience with sequential modeling (e.g., RNNs, Transformers)&nbsp;</li>
</ul>
Benefits:
<ul>
<li>100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)</li>
<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>
<li>401k with Employer Match</li>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave&nbsp;</li>
</ul>
&nbsp;
#LI-AJ1<div class="content-pay-transparency"><div class="pay-input"><div class="description">Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit <a href="https://www.redditinc.com/careers/" target="_blank">https://www.redditinc.com/careers/</a>.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.</div><div class="title">The base salary range for this position is:</div><div class="pay-range">$230,000&mdash;$322,000 USD</div></div></div><div class="content-conclusion">In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.&nbsp; We will not sell your personal information or disclose it to any third party for their marketing purposes.&nbsp; We will delete any recording of your interview promptly after making a hiring decision.&nbsp; For more information about how we will handle your personal information, including our retention of it, please refer to our <a href="https://redditinc.com/policies/candidate-privacy-policy">Candidate Privacy Policy for Potential Employees and Contractors</a>.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.&nbsp; Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</div>

Staff Machine Learning Engineer, Retrieval & Targeting

XMAN is looking for a Data Analyst to join its team. Data Analyst | Remote (United States) | Full-time We are seeking an organized, motivated professional to investigate data quality and explain important changes in performance. The role emphasizes practical reporting, data accuracy, and decision-support analysis. You will collaborate remotely, document your work, and raise questions when information is unclear. Key Responsibilities <ul><li>Present practical findings with appropriate charts and tables.</li><li>Compare results against baseline values and flag material differences.</li><li>Clean and validate data before it is used in dashboards or reports.</li><li>Use basic SQL queries or comparable tools to answer specific business questions.</li><li>Work with stakeholders to clarify definitions and reporting expectations.</li><li>Prepare simple trend comparisons and periodic performance summaries.</li><li>Explain key observations and limitations in clear, accessible language. </li></ul>Qualifications <ul><li>Practical experience with Excel or another spreadsheet application.</li><li>Careful, logical approach to investigating inconsistencies.</li><li>Comfort collaborating with teammates in a remote environment.</li><li>Comfort interpreting charts, tables, and basic performance metrics.</li><li>Organized documentation and version-control habits. </li></ul>Experience from related roles, internships, or individual projects can be useful preparation. Work arrangement: Remote within the United States. Employment type: Full-time. Experience level: Associate.

This is a Fully Remote Job About Our Client:The organization operates in the experience innovation industry, partnering with recognized global brands to transform customer experiences. It addresses challenges in delivering impactful digital solutions by fostering continuous learning and collaboration across a borderless, global framework. The program emphasizes innovation, shared values, and teamwork to drive meaningful industry change. About the Opportunity:The DATA ANALYST SR role is designed to lead significant reporting, dashboarding, and performance analysis initiatives that inform business decisions. This position plays a key role in translating complex business questions into actionable insights, supporting stakeholders in understanding performance and identifying opportunities for improvement. The role contributes to the organization by ensuring accurate, consistent analytics outputs and improving reporting processes. Responsibilities:<ul><li>Lead development and management of dashboards and reporting solutions</li><li>Translate business questions into structured analytics and reporting requirements</li><li>Analyze data to identify trends, anomalies, and business drivers</li><li>Manage data transformation and modeling for scalable analytics</li><li>Define and maintain consistent business logic for metrics and KPIs</li><li>Validate data quality and troubleshoot reporting issues</li><li>Present clear findings and recommendations to stakeholders</li><li>Support discussions by explaining report logic and performance changes</li><li>Collaborate with cross-functional teams to align analytics with business needs</li><li>Identify improvements in reporting structure and documentation</li><li>Adhere to privacy, measurement, and data-quality standards</li></ul> Requirements:<ul><li>3+ years of experience in digital analytics, reporting, and performance measurement</li><li>Ability to independently manage recurring analytics workstreams</li><li>Strong understanding of data structures, joins, and dashboard design</li><li>Skill in converting data into clear, business-relevant insights</li><li>Analytical problem-solving to investigate anomalies and performance drivers</li><li>Knowledge of semantic modeling and consistent business definitions</li><li>Balance technical accuracy with usability in reports</li><li>Strong English communication skills for technical and non-technical audiences</li><li>Detail-oriented approach to validation, QA, and documentation</li><li>Experience working across distributed teams and time zones</li><li>Proficiency in AI-assisted analytics tools with disciplined oversight</li></ul> Pay Range and Compensation Package:<ul><li>The pay range and compensation package for this role will be determined based on the candidate&apos;s experience, skills, and other relevant factors.</li></ul> Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note:TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

Data Analyst Sr

Role Overview Cognizant is seeking an experienced Business/Data Analyst with strong Property &amp; Casualty (P&amp;C) Insurance domain expertise to support the development of a next-generation Analytical Data Lakehouse. In this role, you will partner closely with business stakeholders, data architects, data engineers, and reporting teams to translate business reporting and analytical needs into actionable data requirements. You will act as the critical bridge between business users and technical teams, ensuring that data solutions align with current reporting requirements while enabling future analytical capabilities. The ideal candidate will possess a strong combination of business analysis, data analysis, reporting, and insurance domain experience, along with the ability to drive clarity in complex data initiatives. Work Model This position is fully remote within the United States, offering flexibility while collaborating with business and technology teams across multiple locations. Occasional travel may be required for stakeholder meetings, workshops, or strategic planning sessions. Key Responsibilities Business &amp; Data Requirements Analysis <ul><li>Partner with business stakeholders to gather, analyze, and document data and reporting requirements.</li><li>Facilitate workshops, discovery sessions, and stakeholder interviews to understand business objectives and reporting needs.</li><li>Translate business requirements into detailed data specifications, business rules, mappings, transformations, and acceptance criteria.</li><li>Define and document reporting use cases, KPIs, metrics, dimensions, hierarchies, and business definitions.</li><li>Ensure requirements are clearly communicated and understood by technical delivery teams. </li></ul>Data Lakehouse Enablement <ul><li>Collaborate with data architects and engineering teams to support the design and implementation of an Analytical Data Lakehouse.</li><li>Ensure business requirements are accurately reflected within data models, data pipelines, and reporting datasets.</li><li>Help define data structures that support both operational reporting and advanced analytics use cases.</li><li>Contribute to strategic planning for future data and analytics capabilities. </li></ul>Data Analysis &amp; Validation <ul><li>Analyze source systems and end-to-end data flows to identify required data elements and reporting requirements.</li><li>Support data profiling, mapping, lineage analysis, and validation activities.</li><li>Perform SQL-based data analysis and validation to verify business requirements are correctly implemented.</li><li>Assist with reconciliation and quality assurance efforts across complex datasets.</li><li>Support User Acceptance Testing (UAT) and business validation activities. </li></ul>Stakeholder Management &amp; Collaboration <ul><li>Work closely with:</li><ul><li>Business Stakeholders</li><li>Product Owners</li><li>Data Architects</li><li>Data Engineers</li><li>BI &amp; Reporting Teams</li><li>Project Managers</li></ul><li>Facilitate discussions to resolve requirement gaps, data issues, and business questions.</li><li>Build consensus across technical and non-technical stakeholders.</li><li>Provide regular updates and ensure alignment throughout the project lifecycle. </li></ul>Governance &amp; Documentation <ul><li>Maintain traceability between business requirements, data requirements, technical specifications, and reporting outputs.</li><li>Create and manage:</li><ul><li>Business Requirements Documents</li><li>Data Requirements Specifications</li><li>Data Mapping Documents</li><li>Source-to-Target Mappings</li><li>Data Dictionaries</li><li>UAT Documentation</li></ul><li>Ensure documentation adheres to governance and project standards. </li></ul>Required Qualifications <ul><li>Bachelor&#x2019;s degree in Business, Information Systems, Data Analytics, Computer Science, Finance, Insurance, or a related field, or equivalent work experience.</li><li>Strong experience as a:</li><ul><li>Business Analyst</li><li>Data Analyst</li><li>Business Systems Analyst within data, analytics, business intelligence, or data platform initiatives.</li></ul><li>Strong Property &amp; Casualty (P&amp;C) Insurance domain knowledge.</li><li>Experience gathering, documenting, and managing data and reporting requirements.</li><li>Ability to translate business terminology and reporting needs into technical and data requirements.</li><li>Strong understanding of:</li><ul><li>Data Modeling</li><li>Data Mapping</li><li>Data Lineage</li><li>Data Quality</li><li>Reporting &amp; Analytics Concepts</li></ul><li>Advanced SQL skills for data analysis, profiling, and validation.</li><li>Experience working with:</li><ul><li>Business Stakeholders</li><li>Data Architects</li><li>Data Engineers</li><li>Business Intelligence Teams</li></ul><li>Excellent communication, facilitation, documentation, and stakeholder management skills. </li></ul>Preferred Qualifications <ul><li>Experience with modern cloud-based Data Lakehouse platforms, including:</li><ul><li>Databricks</li><li>Snowflake</li><li>Microsoft Azure</li><li>Equivalent cloud data platforms</li></ul><li>Familiarity with P&amp;C insurance data domains including:</li><ul><li>Policy</li><li>Claims</li><li>Billing</li><li>Customer/Party</li><li>Producer/Agency</li><li>Product</li><li>Coverage</li><li>Premium</li><li>Loss</li></ul><li>Experience supporting enterprise analytics modernization initiatives.</li><li>Knowledge of dimensional modeling and analytical data structures.</li><li>Experience developing source-to-target mappings and business data definitions.</li><li>Familiarity with Agile project delivery methodologies. </li></ul>Domain Expertise Candidates Should Demonstrate Knowledge And Experience In <ul><li>Property &amp; Casualty Insurance</li><li>Data Analysis</li><li>Business Analysis</li><li>Data Warehousing</li><li>Data Lakehouse Architectures</li><li>Reporting &amp; Analytics</li><li>Data Governance</li><li>Data Quality Management</li><li>Source-to-Target Mapping</li><li>Data Lineage</li><li>SQL Analysis</li><li>Business Intelligence</li><li>Enterprise Data Platforms </li></ul>Salary And Other Compensation The annual salary for this position is anticipated to be between $100,000 and $135,000 USD, depending on experience, qualifications, geographic location, and other factors permitted by law. In addition to base salary, this position may be eligible for: <ul><li>Annual performance-based bonus</li><li>Merit-based compensation increases</li><li>Employee referral bonuses, where applicable </li></ul>The compensation information provided is accurate as of the date of this posting. Cognizant reserves the right to modify compensation information based on business needs and applicable laws. Benefits Cognizant offers a comprehensive benefits package, including: <ul><li>Medical, Dental, and Vision Insurance</li><li>Health Savings Account (HSA) and Flexible Spending Accounts (FSA)</li><li>Life Insurance and AD&amp;D Coverage</li><li>Short-Term and Long-Term Disability Insurance</li><li>Paid Time Off (PTO) and Company Holidays</li><li>401(k) Plan with Company Contributions (subject to eligibility)</li><li>Employee Stock Purchase Plan (where available)</li><li>Employee Assistance Program (EAP)</li><li>Parental Leave and Family Care Benefits</li><li>Tuition Reimbursement and Professional Development Programs</li><li>Access to Learning, Certification, and Career Development Opportunities </li></ul>Benefits Are Subject To Eligibility Requirements And Plan Terms. Why Cognizant <ul><li>Work with leading insurance organizations undergoing data and analytics transformation.</li><li>Help build modern Data Lakehouse platforms that drive enterprise decision-making.</li><li>Collaborate with skilled data architects, engineers, and business leaders.</li><li>Gain exposure to cutting-edge cloud, analytics, and data modernization technologies.</li><li>Access ongoing learning, certification, and professional development opportunities.</li><li>Join a global organization that values innovation, collaboration, and client success. </li></ul>Equal Opportunity Employer Cognizant is an equal opportunity employer. We are committed to fostering an inclusive workplace where all associates feel valued, respected, and empowered to contribute their unique perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other characteristic protected by applicable law. Applications will be accepted until the position is filled.

Business/Data Analyst - Property & Casualty (P&C) Insurance

About CirrusMDCirrusMD is redefining virtual care by delivering a Physician-first Care &amp; Guidance solution that meets patients at their moment of need. Our text-based (or web) app connects patients with licensed physicians in under a minute, allowing them to engage in care at their own pace and convenience. Available 24/7/365, CirrusMD&#x2019;s integrated care spans multiple specialties&#x2014;from acute and chronic care to behavioral health. Our platform serves 10 million users across all 50 states and is offered exclusively through employers and health plans. Learn more at cirrusmd.com. About The RoleCirrusMD is seeking a strategic Lead Business Intelligence Analyst with 5+ years of relevant analytics experience who thrives in deriving insights out of complex data. You are a bridge-builder and critical insights partner who demonstrates the value for CirrusMD, aligns business intent with technical execution, and fosters a culture of data-informed decision-making. You partner with teams across the entire organization and do not hesitate to get into the weeds to understand the data. This role will be instrumental in providing accurate and meaningful data and insights that will be used to pave the way for our path ahead. Location: This position may work remotely anywhere in the United States of America. What You&#x2019;ll Do (Essential Responsibilities)<ul><li>Bridge the Gap: Act as the primary data partner to product, clinical, client success, finance, and engineering teams to align cross-functional initiatives and build a unified, data-informed organizational ecosystem.</li><li>Quantify Value: Architect robust measurement frameworks that transform product, clinical, and commercial initiatives into clearly defined performance metrics, directly demonstrating the economic value and ROI of CirrusMD&#x2019;s solution to external stakeholders and clients</li><li>Data Lifecycle Ownership: Own the project data lifecycle - from initial ideation and feasibility assessment to building internal/client-facing reporting.</li><li>Semantic Layer Stewardship: Collaborate with engineers to define data structures and build out the Looker semantic layer to ensure high-trust, reusable data.</li><li>Insight Generation: Transform complex datasets into actionable insights that influence the strategic direction of the organization.</li><li>Performance Visibility &amp; Delivery: Build and maintain high-impact visualization solutions and reporting frameworks that drive awareness and understanding of key performance metrics.</li><li>All other duties assigned. </li></ul> What You&#x2019;ll Bring (Qualifications)<ul><li>Experience: 5+ years of relevant analytics experience</li><li>Strategic Partnership: Proven experience translating business requirements into technical execution for cross-functional stakeholders.</li><li>Technical Proficiency: Strong to advanced SQL skills; experience with Cloud Data Platforms (e.g., Snowflake) and BI reporting tools (e.g., Looker Cloud/On-Prem).</li><li>Data Modeling: Expert in building semantic layers (LookML), managing version control via GitHub, and applying data architecture best practices to ensure scalable, high-performance reporting environments.</li><li>Lifecycle Management: Proven ability to manage the full data lifecycle, from greenfield modeling to refactoring and optimizing legacy technical debt.</li><li>Communication: Exceptional bi-directional communication skills that allow you to distill complex technical topics for non-technical stakeholders while also collaborating effectively with technical counterparts.</li><li>Autonomy &amp; Prioritization: Proven ability to manage competing priorities, knowing when to dive deep and when to zoom out to meet deadlines.</li><li>Data Governance &amp; Client Delivery: Experience fulfilling complex, client-facing data requests while maintaining clear boundaries around data governance. You are highly adept at balancing stakeholder accommodation with a strict adherence to established organizational standards.</li><li>Integrity: Experience owning high-integrity data processes (e.g., billing, invoicing, or clinical reporting) where accuracy is non-negotiable.</li><li>Analytical Rigor: Knowledge and application of statistical methods and concepts such as incorporating confidence intervals, hypothesis testing, sentiment analysis, and anomaly detection. </li></ul> Preferred Qualifications<ul><li>Advanced Analytics: Experience with data transformation tools (dbt, Airflow) and the ability to leverage toolsets (Python/R) for analysis beyond standard SQL.</li><li>Healthcare Domain Expertise: Deep understanding of HIPAA/FedRAMP compliance, PII/PHI handling, and clinical metrics (HEDIS/NCQA/NQF).</li><li>CDP Experience: Knowledge of event-based tracking and Customer Data Platforms (e.g., Segment).</li><li>Systems Thinking: A holistic understanding of modern data stacks, infrastructure dependencies, and how upstream engineering impacts downstream consumption.</li><li>AI Fluency: Experience implementing AI-driven BI capabilities (such as Natural Language Querying or Looker Conversational Analytics) to democratize data access and enable intuitive, self-service exploration for business users </li></ul> What&apos;s In It For YouCirrusMD is paving the way to a better healthcare future and our work truly matters! Our solution is exceptionally accessible, instantly available, and simply scalable. If you are looking to make a lasting impact where your voice matters, consider joining our team and help us deliver care without barriers. We take the health and happiness of our employees seriously and offer great benefits including:<ul><li>Competitive compensation</li><li>Deeply subsidized medical, dental &amp; vision insurance for you and your family</li><li>Unlimited PTO / Vacation</li><li>401(K) + match</li><li>Paid maternity &amp; paternity leave</li><li>Remote friendly</li><li>Growth opportunity</li><li>A positive, collaborative and diverse culture</li><li>Social events onsite &amp; remote</li><li>Free, unlimited access to our text-first platform</li></ul> Reasonable AccommodationShould you require reasonable accommodation(s) to participate in the application/interview/selection process, or in order to complete the essential duties of the position upon acceptance of a job offer, click here to submit a recruitment accommodation request. Recruiting ScamsUnfortunately, scams targeting job seekers are common. To protect our candidates, we want to remind you that authorized representatives of Quantum Health will only contact you from an email address ending in @quantum-health.com. Quantum Health will never ask for personally identifiable information such as Date of Birth (DOB), Social Security Number (SSN), banking/direct/tax details, etc. via email or any other non-secure system, nor will we instruct you to make any purchases related to your employment. If you believe you&#x2019;ve encountered a recruiting scam, report it to the Federal Trade Commission and your state&#x2019;s Attorney General. California Employee and Job Applicant Notice of Collection of Personal Information: If you are a California resident, Quantum Health may collect personal information in connection with your application for employment and, if hired, during the course of your employment. The categories of personal information collected and the purposes for which that information is used are described in our California Employee and Job Applicant Notice of Collection of Personal Information.Please Review The Notice HereCalifornia Employee and Job Applicant Notice Use Of Technology NoticeQuantum Health and its authorized service providers may contact applicants by email, phone, and text message about their application and related employment opportunities. Text messages may cover application status, interview invitations, and reminders, and applicants will have the option to opt out at any time. Message frequency varies. Message and data rates may apply.Quantum Health uses AI-assisted recruiting technology to support communication, scheduling, and candidate evaluation, including tools that may review application materials and analyze recorded interviews. These tools assist our recruiting team; final employment decisions are made by human reviewers. Applicants who will be interviewed using these tools receive advance notice describing the technology and what it evaluates, are asked for permission before the interview is recorded or analyzed, and may request deletion of their recording.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Lead Business Intelligence Analyst

Innovate with purpose At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses&#x2014;from startups to established brands&#x2014;make smarter decisions and gain control of their operations. And we don&#x2019;t stop there: we&#x2019;re creating the future of financial automation so businesses can spend more time on what matters. Working here means you become part of a vision-driven team that&#x2019;s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity&#x2014;and we thrive in a fast-paced, ever-changing environment. We&apos;re remote-first, with office spaces in San Jose, CA and Draper, UT &#x2014; and opportunities to connect in person when it counts. BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks. BILL builds high performing teams and we seek to hire the best talent for every role. We&apos;re committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person&#x2019;s unique skills and experiences. We&#x2019;d love to hear from you&#x2014;you might be just what we&#x2019;re looking for, whether in this role or another. &#x2728; Let&#x2019;s give businesses more time for what matters. Make Your Impact Within a Rapidly Growing Fintech Company You will be the analytics owner for BILL&apos;s payments products within Payments and Financial Services (PFS), covering payment conversion and failures, card and pay-by-card, settlement, and monetization. This is not a role that runs the analyses Product hands you. You will find what Product did not know to ask: the failure pattern quietly eroding conversion, the manual step that should be automated, the deep dive that changes a roadmap call. Your work is measured by the product and roadmap decisions it drives. You will set the analytics agenda for payments, define the KPIs the business runs on, and build the production-grade data models behind them. You will partner directly with Product, Engineering, Product Marketing, Finance, and GTM leadership, with real ownership and executive visibility from day one. Responsibilities <ul><li>Set the analytics agenda for Payments. Find product opportunities, data gaps, and automation candidates across payment methods, and bring them to Product as recommendations that shape the roadmap.</li><li>Own the Payments analytics relationship. Define metrics and OKRs, run a standing review cadence with Product, and drive a deep-dive practice.</li><li>Run experiments and apply causal inference, so recommendations rest on what moved a metric, not on correlation.</li><li>Build and maintain production-grade data models in dbt with tests, documentation, and version-controlled workflows.</li><li>Build with AI-assisted workflows by default, and automate recurring reporting to free your time for higher-value work.</li><li>Drive executive reporting and its adoption across leadership and Product.</li><li>Present with confidence to senior stakeholders, and hold your ground when a metric is contested.</li><li>Partner with data engineering and finance to validate data quality and metric definitions, reconcile payment data against source systems, and fix documentation-to-logic drift when you find it. </li></ul>We would love to chat if you have <ul><li>5+ years in product analytics, data science, or a related quantitative field, owning a domain end to end.</li><li>A track record of self-directed work: finding high-impact problems and shipping the fix.</li><li>Advanced SQL and strong Python.</li><li>Production experience with dbt or similar: models, tests, documentation, version-controlled review.</li><li>Fluency in experimentation and causal inference, and the judgment to know when an experiment is the right tool.</li><li>Genuine AI-native fluency. You already build with agentic coding tools, and you know from experience where their output can and cannot be trusted.</li><li>The judgment to turn an ambiguous question into a metrics framework, and the spine to defend it.</li><li>Data storytelling that turns a complex finding into a decision a product team acts on.</li><li>Nice to have: experience with payments, fintech, or marketplace data, such as payment rails, settlement and reconciliation, fraud and risk signals, or pricing and monetization. </li></ul>Visa Sponsorship Responsibilities <ul><li>Set the analytics agenda for Payments. Find product opportunities, data gaps, and automation candidates across payment methods, and bring them to Product as recommendations that shape the roadmap.</li><li>Own the Payments analytics relationship. Define metrics and OKRs, run a standing review cadence with Product, and drive a deep-dive practice.</li><li>Run experiments and apply causal inference, so recommendations rest on what moved a metric, not on correlation.</li><li>Build and maintain production-grade data models in dbt with tests, documentation, and version-controlled workflows.</li><li>Build with AI-assisted workflows by default, and automate recurring reporting to free your time for higher-value work.</li><li>Drive executive reporting and its adoption across leadership and Product.</li><li>Present with confidence to senior stakeholders, and hold your ground when a metric is contested.</li><li>Partner with data engineering and finance to validate data quality and metric definitions, reconcile payment data against source systems, and fix documentation-to-logic drift when you find it. </li></ul>We would love to chat if you have <ul><li>5+ years in product analytics, data science, or a related quantitative field, owning a domain end to end.</li><li>A track record of self-directed work: finding high-impact problems and shipping the fix.</li><li>Advanced SQL and strong Python.</li><li>Production experience with dbt or similar: models, tests, documentation, version-controlled review.</li><li>Fluency in experimentation and causal inference, and the judgment to know when an experiment is the right tool.</li><li>Genuine AI-native fluency. You already build with agentic coding tools, and you know from experience where their output can and cannot be trusted.</li><li>The judgment to turn an ambiguous question into a metrics framework, and the spine to defend it.</li><li>Data storytelling that turns a complex finding into a decision a product team acts on.</li><li>Nice to have: experience with payments, fintech, or marketplace data, such as payment rails, settlement and reconciliation, fraud and risk signals, or pricing and monetization. </li></ul>Visa Sponsorship Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed below. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending &amp; health savings account, paid holidays, paid time off, and other company benefits. The estimated salary ranges noted below roles in the specific geographic zones Zone 1: San Francisco Bay Area CA (includes HQ), New York City, Seattle, Los Angeles County $126,900&#x2014;$151,800 USD Zone 2: CA (Non San Francisco Bay Area and Los Angeles County), Austin TX, Massachusetts $114,200&#x2014;$136,700 USD Zone 3: Utah (includes Utah office), Dallas TX, Houston TX, Florida, North Carolina, Illinois, Colorado, Arizona, Georgia, Oregon, Pennsylvania $107,800&#x2014;$129,100 USD What&#x2019;s in it for you? Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn&#x2019;t only experienced by our customers, but by our employees as well. Here is a preview of some of the amazing benefits here at BILL: <ul><li>100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)</li><li>HSA &amp; FSA accounts </li><li>Life Insurance, Long &amp; Short-term disability coverage</li><li>Employee Assistance Program (EAP)</li><li>11+ Observed holidays and wellness days and flexible time off </li><li>Employee Stock Purchase Program with employee discounts</li><li>Wellness &amp; Fitness initiatives</li><li>Employee recognition and referral programs</li><li>And much more </li></ul>Don&#x2019;t believe us? Check out our culture, benefits, and teams on our career site, LinkedIn Life, or YouTube pages. BILL is an Equal Opportunity Employer. We believe our best ideas come from the unique stories, perspectives, and experiences of our team members. We welcome people of all backgrounds, abilities, and identities to bring their authentic selves and contribute to our culture. We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact interviewaccommodations@hq.bill.com. To ensure a fair evaluation, our Candidate Integrity Policy prohibits the use of unapproved external assistance, including generative AI, during live interviews or assessments. Doing so will result in a review and potential disqualification. Our Applicant Privacy Notice describes how BILL treats the personal information it receives from applicants.

Senior Product Data Analyst - Payments & Financial Services

Brief Description Job Title: Medical Data Analyst I Location: United States of America Work Environment: Remote Clearance Requirement: Public Trust Status: Funded Salary Range: $65,000 -$75,000 Knowesis is looking for a Medical Data Analyst to support the Defense Centers for Public Health in advancing military and public health initiatives through data-driven decision-making. The Medical Data Analyst I will support public health research, surveillance, and program evaluation efforts through the analysis and interpretation of health, administrative, and behavioral data. Working as part of a multidisciplinary team, the successful candidate will develop reports, presentations, and analytical products that inform leadership decisions and contribute to force health protection and readiness initiatives across the military health community. This position requires the ability to obtain a Public Trust and U.S. Citizenship without the need for sponsorship, both now and in the future. Applicants without proof of U.S. Citizenship will not be considered due to the position&#x2019;s security requirements. The Job Duties and Responsibilities include but are not limited to the following: <ul><li>Review, analyze, evaluate, design, implement, and maintain assigned database[s] and large data sets such as medical, Military administrative data, and behavioral and social health data systems.</li><li>Identify data sources, assist with data collection, construct data decomposition diagrams, provide data flow diagrams, maintain documentation, and develop effective business processes for effective and valid data analyses.</li><li>Develop public health study deliverables, surveillance products, monitoring activities, field studies, and program evaluations. Research, map, and document data housed in relational databases; assist in developing reporting architectures; and design, develop, test, and generate accurate data analysis reports.</li><li>Develop and implement data quality assurance processes related to military Public Health data and advise multidisciplinary teams regarding the design of analytic project plans that minimize epidemiological data validity/accuracy concerns and increase quality control.</li><li>Apply quantitative, qualitative, and social science research methods to support the design and execution of complex public health studies, including mixed-methods, retrospective, and prospective research.</li><li>Develop and prepare Public Health technical reports, business process documentation, oral reports, charts, tables and/or professional quality presentations, as required.</li><li>Topics of study include substance use disorders, suicidal behaviors, sexual assault, and other behavioral and social health issues affecting military populations. </li></ul>Required Qualifications <ul><li>Bachelor&apos;s degree in Biostatistics, Epidemiology, Public Health, or a related field.</li><li>Understanding of generalized linear models, logistic regression, and other statistical analysis techniques. </li><li>One (1) or more years of experience working with administrative, healthcare, public health, or military datasets. </li><li>Experience using SAS programming, including DATA step processing, PROC procedures, and PROC SQL, to manage, analyze, and report datasets. </li><li>Experience acquiring, validating, and performing quality assurance reviews of data. </li><li>Experience developing and reviewing data analysis plans, technical reports, presentations, and other project deliverables. </li><li>Experience preparing public health charts, tables, and analytical products to address epidemiological and public health questions, including incidence and prevalence measures. </li><li>Intermediate proficiency in technical writing related to data methodologies, analytical approaches, and statistical findings. </li><li>Strong verbal and written communication skills, including the ability to communicate technical information to both technical and non-technical audiences. </li><li>Ability to work effectively in a collaborative, team-oriented environment. </li><li>Strong attention to detail and the ability to manage multiple priorities while meeting established deadlines. </li><li>Must be a U.S. citizen. </li></ul>Preferred Qualifications <ul><li>Experience developing dashboards and data visualizations using Power BI.</li><li>Knowledge of time series analysis and/or survival analysis.</li><li>Experience supporting military public health, epidemiology, or healthcare research initiatives. </li></ul>Benefits <ul><li>Health (PPO &amp; HDHP) Insurance, Dental, Vision, STD &amp; LTD, Basic Life Insurance, 401k Company Match, &amp; Voluntary Products. </li></ul>Knowesis is committed to providing equal employment opportunities to all individuals based on merit and qualifications. We prohibit discrimination in all aspects of employment as required by Title VII of the Civil Rights Act and other applicable federal laws. Our company values all applicants and employees and fosters a work environment where everyone is treated with respect and dignity.

Medical Data Analyst I

An industrial manufacturer based near Kokomo, Indiana is seeking a remote Sales Analyst to support their expanding operations. The Sales Analyst will work across multiple departments, including sales and operations, in order to analyze financial data and develop recommendations for continued profitable growth. The ideal candidate will have an educational background in Business or Data Analysis, prior experience with pricing and sales analysis within manufacturing, and a positive, team-oriented mindset.This is a fully remote, full-time and direct-hire position. Candidates, regardless of the time zone they are based out of, will be expected to work and attend meetings between the hours of 8:00am to 5:00pm EST. Occasional travel to the company location near Kokomo, Indiana may be required as necessary. Sales Analyst Responsibilities:<ul><li>Review sales data to analyze product performance, customer order trends, and general market trends to develop strong risk/benefit analyses and influence company direction</li><li>Evaluate product pricing and quotations for consistency and profitability, recommending corrective action and pricing controls as necessary</li><li>Support strategy and margin objectives through analysis of customer trends and market data</li><li>Evaluate workflow efficacy and develop improvements to support operational accuracy, responsiveness, and scalability</li><li>Implement and maintain consistent practices for commercial information storage across ERP, CRM, and other sales reporting systems</li><li>Support forecasting, budgeting and capacity planning through tailored, data-driven recommendations</li><li>Evaluate actual data and explain variances from anticipated forecast, keeping a long-term perspective</li><li>Resolve issues regarding pricing, orders, and system functionality by establishing and maintaining scalable processes for sales data management during high-growth periods</li><li>Other duties as assigned</li></ul> Sales Analyst Requirements:<ul><li>Bachelor&#x2019;s degree in Data Analytics, Business, Finance, or a related combination of education and experience</li><li>Several years of prior experience in sales, data analytics, and product pricing, preferably in the manufacturing industry.</li><li>Strong analytical judgement and communication skills</li><li>Self-motivated and able to work independently as well as part of a team in a fast-paced environment</li><li>Highly proficient in Microsoft Excel, CRM, and ERP software</li></ul> Candidates should be able to work at a computer for long periods of time.Activ8 Recruitment &amp; Solutions / Renaissance Resources Inc., has been one of the leading recruiting firms in North America when it comes to working with Japanese Businesses for more than 25 years. Our services are based on the needs of our clients, and we connect them with qualified candidates in the Automotive, Electronics, Food, Logistics, Manufacturing and Oil &amp; Gas industries. We like to take the approach of working one on one with each of You to ensure that we have the best understanding of your background and what it is you are looking for in a career.

// Remote // Sales Analyst  – Industrial Manufacturer (36624)

About the Company IEM develops electrical distribution systems and solutions for complex power requirements. With 75 years of experience, the company supports projects across industries that depend on reliable electrical infrastructure and advanced power solutions. About the Role IEM is seeking a Data Analyst to support strategic decision-making and performance management through data analysis and business insights. Reporting to the VP, Execution and Delivery, this role will focus on customer forecasts and their impact on operational performance, helping the Execution &amp; Delivery (E&amp;D) team plan support and staffing requirements. You will analyze customer behavior, market trends, and operational performance to identify opportunities, improve business visibility, and support key initiatives. Working with Data Science, Infrastructure, Analytics, and E&amp;D leadership teams, you will use tools such as Tableau, Snowflake, and AI-enabled workflows to deliver timely, actionable insights. Key Responsibilities &#x25CF; Develop, maintain, and improve analytics frameworks to monitor customer retention, market share, revenue growth, and market expansion initiatives.&#x25CF; Analyze customer forecasts and assess their impact on operational performance and business priorities.&#x25CF; Provide data-driven insights to support staffing strategies and operational planning for the Execution &amp; Delivery team.&#x25CF; Use AI tools and modern analytics workflows to improve efficiency, generate insights, and support day-to-day decision-making.&#x25CF; Collaborate with Data Science, Infrastructure, and other Analytics teams using tools such as Tableau and Snowflake to deliver timely performance insights.&#x25CF; Communicate clear, actionable findings and recommendations to the E&amp;D Leadership Team.&#x25CF; Work collaboratively with cross-functional teams and leadership to improve processes and support operational success.&#x25CF; Handle workplace information with integrity, discretion, and confidentiality.&#x25CF; Promote respectful communication, teamwork, and a positive working environment. Required Qualifications &#x25CF; At least 2 years of relevant analytical experience working with large datasets and delivering insights.&#x25CF; Hands-on experience incorporating AI tools, such as generative AI, automation, or advanced analytics workflows, into day-to-day analytical work.&#x25CF; Demonstrated ability to influence stakeholders through data-driven insights and clear communication.&#x25CF; Strong attention to detail and commitment to data accuracy.&#x25CF; Strong business acumen, critical thinking, and problem-solving skills.&#x25CF; Experience with data visualization tools such as Tableau. Preferred Qualifications &#x25CF; Bachelor&apos;s or master&apos;s degree in Analytics or a related field.&#x25CF; Experience in a commercial business environment. Salary &amp; Benefits &#x25CF; Annual salary range: $80,000&#x2013;$95,000.&#x25CF; IEM offers a comprehensive benefits package designed to support employee well-being, professional growth, and long-term success. Work Arrangement &#x25CF; Location: United States.&#x25CF; Work arrangement: Remote.&#x25CF; Reports to: VP, Execution and Delivery. Equal Employment Opportunity IEM does not discriminate against applicants based on any characteristic protected by law. Recruiting, Privacy &amp; AI Notices IEM never charges candidates recruitment fees. Official recruiter emails come from an @iemfg.com address. Candidates who suspect fraudulent recruiting activity should avoid sharing personal information and report it through iemfg.com/contact. Information collected through an IEM Careers profile or job application is subject to the company&apos;s Workforce Member Privacy Policy. IEM also uses artificial intelligence technology to assist in reviewing job applications and provides information about its AI practices and applicant rights.

Data Analyst - Remote

As the largest global shared micromobility business, Lime is on a mission to build a future where transportation is shared, affordable and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership. Learn more at li.me. We are looking for a Senior Associate to join the Strategic Planning team. You will be working with colleagues -- often remote market owners, cross-functional teams (local operations, finance, and others), and executive management to make difficult decisions, prioritize, and solve problems. With your proven skills as a multitasker, you will use your analytical skills with confidence to make sure you know and understand our business needs and ensure success for our global business. This is a remote position with a requirement for candidates to reside in London to maintain effective collaboration across teams. What You&#x2019;ll Do <ul><li>Own the regional fleet allocation engine: Build, maintain, and improve the models, logic, and decision frameworks used to determine where fleet should be allocated, rebalanced, held, or redeployed across markets.</li><li>Build decision infrastructure: Develop dashboards, trackers, datasets, and recurring reports that give regional and local teams clear visibility into fleet availability, market needs, allocation gaps, and upcoming decisions.</li><li>Model scenarios and trade-offs: Quantify allocation options across demand, utilization, revenue, ROI, growth potential, budget constraints, operational readiness, timing, and local market constraints.</li><li>Turn data into recommendations: Translate complex operational, financial, and market inputs into clear recommendations that help leadership and local teams make better fleet allocation decisions.</li><li>Support planning and forecasting: Provide the analytical foundation for annual planning, Capex planning, budget forecasting, market launches, scale-ups, and in-year fleet reviews.</li><li>Standardize allocation processes: Create repeatable frameworks, input templates, decision rules, and model documentation to make allocation decisions more consistent, transparent, and scalable.</li><li>Partner cross-functionally: Work with Operations, Finance, Supply Chain, Logistics, and local markets to collect inputs, validate assumptions, and ensure allocation models reflect operational reality.</li><li>Track allocation performance: Monitor post-allocation outcomes, compare actual performance against expected impact, identify gaps in the logic, and continuously improve the allocation framework over time.</li><li>Improve data quality and automation: Identify weaknesses in current tools, data flows, and reporting processes, and build cleaner, faster, and more automated ways to support fleet allocation decisions. </li></ul>About You <ul><li>2&#x2013;4 years of experience in strategy and operations, business intelligence, consulting, project management, or another analytical role; experience in a high-growth or early-stage environment is a plus.</li><li>Analytics &amp; tooling: Strong Excel / Google Sheets and data management skills are required; SQL and dashboard-building experience are required.</li><li>Data-driven judgment: Able to turn messy data, operational context, and financial inputs into clear recommendations, priorities, and trade-off decisions.</li><li>Project execution: Proven ability to support cross-functional projects from planning through execution, with strong organization, prioritization, and follow-through.</li><li>Stakeholder communication: Strong written and verbal communication skills, with the ability to translate analysis into crisp recommendations, action plans, and leadership updates.</li><li>Operational judgment: Understands whether a plan is not only analytically sound, but also practical and executable for local teams.</li><li>Independent working style: Self-starter who is comfortable with ambiguity, can manage multiple workstreams, and knows when to escalate risks or blockers.</li><li>Global collaboration: Comfortable working across regions and time zones, adapting to different regulatory, operational, and market contexts.</li><li>Education: Bachelor&#x2019;s degree or equivalent practical experience required. </li></ul>Preferred Experience <ul><li>BI tools: Experience with Tableau, Looker, Power BI, or similar tools.</li><li>EPM tools / process: Knowledge of Anaplan or similar EPM tools, budget forecasting, Capex planning, or financial planning processes is a plus.</li><li>Relevant industry experience: Background in mobility, logistics, marketplaces, supply chain, inventory planning, asset-heavy operations, international operations, or planning cycles.</li><li>Advanced degree: Master&#x2019;s degree, or equivalent analytical training is a plus. </li></ul>If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page. Lime is proud to be an Equal Opportunity Employer. We believe different perspectives help us grow and achieve more. That&#x2019;s why we&#x2019;re dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences. If you require a reasonable accommodation during the application or hiring process, please email recruiting-operations@li.me for assistance.

Senior Associate Strategic Planning

<h3>Who we are</h3><a href="https://himalayas.app/companies/moniepoint">Moniepoint</a> Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month. As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, <a href="https://himalayas.app/companies/moniepoint">Moniepoint</a> Inc. processes over $250 billion in digital payment transaction value annually.<h3>About the role</h3>The Senior Business Analyst plays a key role in shaping the growth and success of <a href="https://himalayas.app/companies/moniepoint">Moniepoint</a>’s payment products. You'll design, test, and implement strategies that improve user acquisition, boost retention, and elevate product engagement. This role blends deep quantitative analysis with collaborative, strategic thinking. You'll partner with teams across the business to ensure our payment solutions meet real market demands and grow efficiently as we scale. Ultimately, you'll make sure our products not only attract users but also scale sustainably to create financial happiness for everyone.Curious about what makes <a href="https://himalayas.app/companies/moniepoint">Moniepoint</a> an incredible place to work?Check out posts on how we cultivate a culture of innovation, teamwork, and growth.<h3>Key Responsibilities</h3><ul>
<li>Partner closely with product managers, business development, and data engineering teams to help our growth team uncover problems and make product metrics highly visible.</li>
<li>Translate complex product and business questions into simple, actionable insights.</li>
<li>Build, maintain, and scale self-service dashboards and custom visualisation tools.</li>
<li>Own end-to-end analytics for our growth products—from gathering data requirements and estimating opportunity sizes to designing experiments and conducting post-launch impact reviews.</li>
<li>Cultivate trusted relationships across teams, acting as a collaborative link between technology, business, and product.</li>
<li>Apply advanced mathematical and statistical modelling techniques (including A/B tests, multivariate testing, clustering, and supervised learning) to solve practical business problems that drive high-impact results.</li>
</ul><h3>Qualifications</h3><ul>
<li>3 to 4 years of professional experience (excluding academic projects and internships) in a quantitative analysis role within high-scale tech companies, tier-1 consulting firms, or investment banks with strong programming demands.</li>
<li>Excellent SQL skills (which we will test during our interview process).</li>
<li>Practical experience designing, running, and analysing experiments on digital products (such as A/B and multivariate tests).</li>
<li>Hands-on experience with popular visualisation tools like Tableau or Looker.</li>
<li>Experience applying statistical modelling and advanced analytics to deliver practical, product-shaping insights.</li>
<li>Strong skills in statistical programming (Python) and familiarity with tools like Pandas, SciPy, and Jupyter notebooks.</li>
<li>Clear, professional spoken and written English.</li>
</ul><h3>Additional skills</h3><ul>
<li>Product management</li>
<li>Analytics</li>
<li>Marketing</li>
<li>Data Science</li>
<li>Design</li>
<li>Customer Success</li>
</ul><h3>What we can offer you</h3><ul>
<li>Culture - We put our people first and prioritise every team member's well-being. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.</li>
<li>Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.</li>
<li>Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.</li>
</ul><h3>What to expect in the hiring process</h3><ul>
<li>A preliminary phone call with one of our recruiters.</li>
<li>A panel interview with a member of the hiring team.</li>
<li>A behavioural and technical interview with a member of the Executive team</li>
</ul><a href="https://himalayas.app/companies/moniepoint">Moniepoint</a> is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.Originally posted on <a href="https://himalayas.app">Himalayas</a>

Senior Business Analyst

THE ROLE📝We’re looking for a Reporting &amp; Data Analyst to help <a href="https://himalayas.app/companies/form3">Form3</a> develop a more reliable, scalable and accessible reporting capability across the organisation.This is a six-month fixed-term contract with two clear priorities: completing and enhancing the Customer Service reporting suite in AWS QuickSight, and building trusted, reusable datasets that enable teams to create and maintain their own reporting.You’ll work across the business to improve data quality, reduce manual reporting and establish stronger documentation, governance and knowledge transfer for the future.<ul>
<li>Complete and enhance the Customer Service reporting suite and reporting deck in AWS QuickSight.</li>
<li>Design, build and document reusable datasets for multiple reporting use cases.</li>
<li>Integrate key business systems into curated reporting datasets.</li>
<li>Translate stakeholder questions into clear data and dashboard requirements.</li>
<li>Establish consistent business metrics, definitions and reporting logic.</li>
<li>Automate manual reporting and duplicated data preparation where possible.</li>
<li>Validate reporting outputs and investigate data-quality issues.</li>
<li>Provide knowledge transfer to internal teams and support a longer-term reporting roadmap.</li>
</ul>WE’RE LOOKING FOR 🔍<h3>Essential</h3><ul>
<li>Experience in a Reporting Analyst, Data Analyst, BI Analyst or similar role.</li>
<li>Hands-on experience building and maintaining dashboards using AWS QuickSight or a comparable BI platform.</li>
<li>Practical experience using SQL and Python for reporting, data transformation or analysis.</li>
<li>Experience working with multiple data sources and translating stakeholder requirements into accurate, maintainable reporting.</li>
<li>A self-sufficient and pragmatic approach, with the ability to take ownership and deliver within a focused six-month engagement.</li>
</ul><h3>Desirable</h3><ul>
<li>Experience using Amazon Athena or a similar cloud-based data querying service.</li>
<li>Experience creating curated datasets for self-service reporting.</li>
<li>Experience improving data quality, reporting governance and technical documentation.</li>
<li>Experience working in a start-up, scale-up or small team where you have had broad ownership.</li>
</ul>TECH STACK ⚙️<ul>
<li>
AWS QuickSight - building dashboards, reporting suites and reusable datasets.</li>
<li>
SQL - querying, transforming and validating reporting data.</li>
<li>
Python - supporting data transformation, automation and reporting workflows.</li>
<li>
Business and operational systems - integrating data sources into trusted reporting datasets.</li>
</ul>INTERVIEW PROCESS ✍️Stage 1: Screening Call with Talent TeamStage 2: Practical Technical TaskStage 3: Interview with the Hiring Manager, including a discussion of your technical task and your approach to reporting, data quality, stakeholder requirements and self-service analyticsWe always aim to stick to the above process, however there may be occasions when an additional interview stage is needed for us to be sure we’re hiring the right fit for the role.<h3>HIRING LOCATIONS📍</h3>Here are the locations that we are hiring from for this position.<ul><li>United Kingdom</li></ul>All new joiners start their first day in our office to collect the equipment needed to work remotely. We'll also arrange for some of your team to come in to say hi, ensuring you're supported and have a positive first few days with <a href="https://himalayas.app/companies/form3">Form3</a>!<h3>BENEFITS 🏝️</h3><a href="https://himalayas.app/companies/form3">Form3</a> are a 100% remote, flexible business and are able to offer part-time working arrangements. We believe this enables our people to achieve amazing things with a healthy work-life balance.For further information on what it’s like to work here, and for more information on our full benefits package, visit our careers page. If you have any other questions, we’d be happy to discuss these with your during the interview process.<h3>ABOUT FORM3 💭</h3>Revolutionising the world of payments with our cloud-native, multi-cloud platform. For more information about <a href="https://himalayas.app/companies/form3">Form3</a>, check out the following pages:What we do | Life at <a href="https://himalayas.app/companies/form3">Form3</a> | Benefits | Payments Cannot Fail Series | .Tech Podcast<div class="content-conclusion">
<h3>OUR DEI&amp;B COMMITMENT</h3>
We hire talented people from a variety of backgrounds and experiences and are committed to a work environment based on diversity, open-mindedness and curiosity. We’re united by our company values (we even created them together!) and we celebrate our unique differences.
Our employee lifecycle processes are designed to embrace equal opportunity and prevent discrimination against our people regardless of personal characteristics. It is our strong belief that the more inclusive and belonging we are as a business, the better our work will be.
As an inclusive employer, we guarantee to interview all neurodiverse and physically disabled applicants who meet the minimum criteria for this role. We also encourage candidates to notify us of any reasonable adjustments that may be required during the recruitment process. This includes providing job adverts in alternative, accessible formats or adjustments required at interview stage.
If you consider yourself to be neurodiverse or physically disabled under the UN definition of disability and would like to be considered under this scheme and/or require any reasonable adjustments please let us know by sending an email to clearly stating your consent for us to process this data. 
For more information please refer to our Recruitment Data Policy.
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Reporting & Data Analyst (6-Month FTC)

Senior Marketing Analyst&#xA3;70,000-&#xA3;90,000Fully Remote in The UK The Company A fast-growing, B Corp-certified global adventure travel marketplace, helping customers discover and book unique outdoor experiences around the world, is seeking a Senior Marketing Analyst to join the team! Working with independent local operators across more than 60 countries, the business offers a different approach to travel, supporting local economies and conservation while creating unforgettable experiences. With a strong brand and an expanding customer base, the business is preparing for its next stage of growth, with plans to double its marketing spend next year. The focus is on scaling sustainably and ensuring every investment drives meaningful, profitable growth. The Role As the Senior Marketing Analyst, you will play a pivotal role in understanding the true effectiveness of marketing investment and identifying where budget can be allocated to maximise profitable customer acquisition. Reporting to the Head of Data, you will work closely with the performance marketing team, taking ownership of Marketing Mix Modelling (MMM), incrementality measurement and Customer Lifetime Value (LTV) modelling. This is a highly hands-on, commercially focused position where your analysis will directly influence marketing strategy and budget allocation. You&apos;ll develop and refine models to understand channel effectiveness, measure incremental returns and identify opportunities to scale acquisition profitably. You&apos;ll also collaborate with the wider data team, helping establish experimentation standards and ensuring your LTV models support both marketing investment decisions and longer-term customer retention strategies. Key responsibilities include:<ul><li>Own and develop the Marketing Mix Model (MMM), measuring channel effectiveness, saturation, marginal returns and customer acquisition costs.</li><li>Design and evaluate incrementality experiments, including conversion-lift tests, geographic experiments and holdout testing.</li><li>Build and maintain Customer Lifetime Value (LTV) models to inform bidding strategies, budget allocation and long-term profitability.</li><li>Improve marketing attribution and conversion measurement, accounting for privacy changes and incomplete customer journeys.</li><li>Translate complex modelling outputs into clear, actionable recommendations for the performance marketing team.</li><li>Use AI as a core part of your day-to-day workflow to accelerate analysis, improve experimentation and automate recurring insights, while maintaining analytical rigour.</li><li>Collaborate with the wider data team to strengthen experimentation methodologies and support data-driven decision-making across the business.</li></ul> Your Skills &amp; Experience <ul><li>Strong hands-on experience in marketing measurement, particularly Marketing Mix Modelling (MMM), incrementality testing or geographic experiments.</li><li>Strong statistical knowledge, including regression, hypothesis testing, sample sizing, statistical power and causal inference.</li><li>Excellent SQL skills and experience using Python for analysis and modelling.</li><li>An understanding of paid media platforms, marketing attribution and the impact of privacy changes on measurement.</li><li>Experience building LTV models, with an understanding of customer acquisition costs, payback periods and marginal returns.</li><li>The ability to turn complex analytical findings into clear commercial recommendations that influence marketing investment.</li><li>A confident, AI-native approach, using AI to improve the speed and quality of analytical work while critically reviewing outputs and maintaining appropriate guardrails.</li></ul> Experience with Snowflake, dbt and modern analytics tools would be beneficial, alongside exposure to Bayesian modelling, value-based bidding or offline conversion uploads. Experience in travel, marketplaces or other considered-purchase businesses would also be advantageous. The Benefits <ul><li>&#xA3;70,000&#x2013;&#xA3;90,000 salary, depending on experience.</li><li>Fully remote working within the UK.</li><li>38 days of annual holiday, inclusive of public holidays.</li><li>Annual company performance-based bonus.</li><li>30% employee discount on trips, plus 15% friends and family discounts.</li><li>Company-wide adventure meet-ups</li></ul> How to Apply Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

Senior Marketing Analyst

Writing &#x1F680; We&#x2019;re Hiring: Senior Data Scientist | Meta | UK (Remote) Are you a Data Scientist passionate about e-commerce, advertising, experimentation, and AI-driven innovation? This is an exciting opportunity to work with Meta on data-led product experiences across platforms like Facebook and Instagram. &#x1F4CD; Location: UK &#x2013; Remote&#x1F4C5; Duration: 12-month contract&#x1F558; Working Hours: Monday&#x2013;Friday, 9 AM&#x2013;6 PM&#x1F4BC; Experience: 8&#x2013;10+ years &#x1F50D; What we&#x2019;re looking for:&#x2705; Strong experience in e-commerce, advertising platforms, or major retail organisations&#x2705; Solid understanding of advertising analytics and experimentation methodologies&#x2705; Hands-on experience with Python, SQL, statistical analysis, and large datasets&#x2705; Expertise in product analytics, hypothesis testing, and A/B testing&#x2705; Ability to work independently and translate complex data into actionable business insights&#x2705; Strong stakeholder management and communication skills &#x1F31F; Why join?Be part of an innovative team exploring AI-powered e-commerce, product experimentation, and data-driven customer experiences at one of the world&apos;s leading technology companies. &#x1F4E9; Interested or know someone who could be a great fit? DM me to discuss this opportunity! #Hiring #DataScientist #Meta #DataScienceJobs #Python #SQL #Ecommerce #ProductAnalytics #A/BTesting #MachineLearning #UKJobs

Data Scientist

About Amaris ConsultingAmaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. We support our clients throughout their project lifecycle, from strategic planning to implementation, across IS &amp; Digital, Telecom, Life Sciences and Engineering.As part of our growth in the Iberia region, we are looking for a Senior Business Analyst specialized in business modelling, benefits realization and financial analysis to join our consulting team on a full-remote basis from Portugal.Your RoleAs a Senior Power BI Business Analyst, you will be responsible for designing and maintaining robust analytical models and dashboards that support executive decision-making and benefits realization across a portfolio of initiatives. You will work closely with Portfolio Management, Finance and Business Owners to define metrics, baselines, monetization parameters and reporting standards, ensuring a consistent and auditable approach to value tracking.Key Responsibilities<ul><li>Build and maintain business and financial models to quantify benefits and value across initiatives.</li><li>Define KPIs, baselines, targets and monetization parameters in collaboration with Finance and Business stakeholders.</li><li>Develop and maintain Benefits Performance Dashboards (Power BI) for executive-level reporting and decision-making.</li><li>Ensure standardization of measurement methodologies, governance and reporting cadence across initiatives.</li><li>Align Benefit Realization tracking with Value Attribution methods, including incremental value and avoiding double counting.</li><li>Perform financial and analytical modelling, including forecasting, scenario analysis and variance analysis.</li><li>Translate complex business and financial inputs into clear, structured models and dashboards.</li><li>Collaborate with Portfolio, Finance, Business and project teams to ensure consistent benefit tracking and reporting.</li><li>Provide insights and recommendations to senior management based on data-driven analysis.</li></ul> Must-Have Skills &amp; Experience<ul><li>5 years of experience as a Business Analyst, Financial Analyst, Power BI Specialist or similar role.</li><li>Strong experience in business modelling and benefits/value quantification.</li><li>Expertise in Benefits Realization, from baseline and targets through to realized value.</li><li>Strong financial and analytical modelling skills (forecasting, scenarios, variance analysis).</li><li>Advanced Microsoft Excel proficiency for complex, structured and auditable models.</li><li>Hands-on experience building Microsoft Power BI dashboards and executive-level reporting.</li><li>Ability to define KPIs, baselines, targets and monetization parameters with Finance and Business Owners.</li><li>Knowledge of Value Attribution, including incremental value and avoiding benefit double counting.</li><li>Experience working across Portfolio, Finance, Business and initiative/project teams.</li><li>Highly analytical, structured and communicative, able to translate complex business/financial data into clear insights for senior management.</li></ul> Technical SkillsMust-have:<ul><li>Microsoft Excel (advanced)</li><li>Financial Modeling</li><li>Microsoft Power BI</li><li>Financial Analysis</li><li>Benefits Design / Benefits Realization</li><li>Business Model design and analysis</li></ul> Languages<ul><li>English: Fluent (mandatory)</li><li>Other languages: Nice to have but not required</li></ul> What We Offer<ul><li>Full-remote position from Portugal with flexibility and autonomy.</li><li>Opportunity to work on strategic, high-impact initiatives with international stakeholders.</li><li>A dynamic, multicultural environment within Amaris Consulting and the wider Mantu Group.</li><li>Access to training, certifications and career development opportunities.</li><li>Competitive compensation package aligned with your experience and profile.</li></ul> &#x1F4B0; Compensation &amp; Pay Transparency&#x2022; Gross Annual Salary (Range:&#x20AC;29,500 &#x2013; &#x20AC;54,500)&#x2022; Applicable CCNL: Commerce Sector (CCNL Commercio).&#x2022; The salary range has been determined based on objective and gender-neutral criteria.&#x2022; During the recruitment process, we will not ask for information about your current or previous salary. Our salary ranges are intentionally wide, because we hire talented minds, not &quot;templates&quot;. The same role can attract very different candidates, and we believe in leaving room for that. What lands within the range depends on your specific experience, skills and what you bring to the role. &#x1F64C; The ideal person shares these values:Boldness: our entrepreneurial spirit of adventure is what brings us together and drives our success.Trust: trust is the foundation of our relationships and enables us to promote freedom of expression, creativity and innovation.Performance: it guides us in our continuous improvement and in our drive to achieve concrete results.Commitment: we work with dedication and responsibility to meet our objectives.Independence: Amaris Consulting belongs to those who created it and to those who develop it every day.With your application, you may have the opportunity to join a company that supports its partners in the Automotive &amp; Motorsport, Avionic &amp; Aerospace, Defence, Railway, Industrial, Home Automation and Robotics sectors, with mechanical and electronic engineering activities in the areas of Development &amp; Design, Testing &amp; Validation, System Engineering, R&amp;D and Project Management. Diversity and inclusion: Amaris Consulting promotes equal opportunities and assesses applications based on skills, experience and potential. We welcome qualified applications without discrimination based on gender, gender identity or expression, sexual orientation, ethnic origin, nationality, religion or belief, age, disability, marital or family status, or any other protected characteristic.

Power BI Specialist- BA

Hi, I&apos;m Nishya, Head of Data and AI at Intact &#x2013; the world&apos;s leading software provider for the Testing, Inspection and Certification (TIC) industry. We&apos;re looking for a Senior Analytics Engineer to build the data foundation for the next generation of our product. We have years of operational data on audits, certifications, standards, findings and organizations, much of it still locked in systems built to run workflows. You&apos;ll turn it into a trusted product asset: data models, metrics, a semantic layer and dashboards that power analytics, product features and AI/ML. We&apos;re starting fresh. There is no warehouse or metric catalogue yet. Working hand in hand with our Data Engineer, and closely with me, Product, Engineering and Applied AI/ML, you&apos;ll shape how data is modeled, defined and used at Intact from day one. What you will own<ul><li>Understand the business. Learn which decisions Product, Customer Success, Operations and leadership need to make, and turn that into prioritized use cases, metric definitions and source requirements. </li><li>Build the foundations. Bring the analytics perspective to stack, ingestion and warehouse design. Own the conventions for transformation, naming, testing and documentation. </li><li>Model product usage and operations. Build clean models for activation, adoption, retention and customer health, as well as for support, implementation projects and delivery efficiency. </li><li>Make metrics and data trustworthy. Define and document core metrics, resolve conflicting definitions, and put tests, freshness checks and clear ownership on every important model. </li><li>Close instrumentation gaps. Work with engineers to design events and source data that make future analysis reliable. </li><li>Measure what we ship. Partner with Product Managers on A/B tests, staged rollouts and feature-flag experiments, from hypotheses and guardrail metrics to an honest reading of the results. </li><li>Enable self-service. Build marts, a semantic layer, dashboards and documentation, and run hands-on sessions that help colleagues use data well.</li></ul> Why this role is different The SQL is the easy part. The real challenge is understanding how audits, certificates and findings move through Intact Platform, and how customers configure it for their own processes. When a number looks off, you&apos;ll want to know why. Success in your first months <ul><li>You know our key stakeholders and have agreed a prioritized list of first use cases, metric definitions and data sources. </li><li>Together with the Data Engineer, you&apos;ve shaped the target architecture and the first ingestions. </li><li>Modeling, testing and documentation standards are written down and in use. </li><li>The first trusted models and dashboards for product usage and operations are used by Product and Customer Success.</li></ul> What we&apos;re looking for <ul><li>5+ years in data analytics (e.g. Data, Product or BI Analyst) with a growing focus on analytics engineering. You&apos;ve built reusable models, not only one-off analyses. </li><li>Advanced SQL and solid Python, including query optimization in a cloud warehouse (e.g. Snowflake, BigQuery, Databricks, ClickHouse). </li><li>Hands-on dbt or similar. Airflow or Dagster is a plus. </li><li>Solid grasp of dimensional modeling, event data, SCDs and metric design. </li><li>Experience with a BI or semantic layer tool (e.g. Looker, Power BI, Metabase, Tableau). </li><li>Engineering habits: Git, code review, testing, CI/CD, documentation. </li><li>Experience designing and analyzing experiments, with a sound grasp of significance, power and common pitfalls. </li><li>Strong product sense and the ability to turn vague questions from non-technical stakeholders into clear definitions and dependable models. Clear communication in English.</li></ul> Nice to haveB2B SaaS and product analytics or customer health scoring, event tracking design (Segment, Snowplow, PostHog), compliance, audit or certification domains. WHY US?<ul><li>A platform to shape. As one of the first analytics engineers in the Data and AI team, you&apos;ll help shape the platform and its standards from the start. </li><li>Work with purpose. Your work helps safeguard quality, safety, and sustainability worldwide. </li><li>An international team. You&apos;ll work closely with colleagues across Product, Engineering, and operations around the world. </li><li>Flexible work. Flexible work models, with a 100% remote option. </li><li>Lebring office perks. Food vouchers, free parking, and easy access to public transport. </li><li>Room to grow. We don&apos;t just allow personal development, we encourage it. Your growth is our gain. </li><li>Fair compensation. In Austria due to legal requirements from &#x20AC;75,000 gross per year (full-time), with higher pay depending on seniority and experience; for other locations, in line with local market conditions. </li><li>Start: As soon as possible.</li></ul>

Senior Analytics Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Product Lead based in Netherlands. As Data Product Lead, you will shape the direction, priorities, and impact of a data team in a fast-paced, high-growth environment. Combining hands-on analytics with product leadership, you will turn complex data into actionable insights, business recommendations, and growth opportunities. You will lead the team&#x2019;s roadmap and delivery while working closely with product managers, engineers, and senior stakeholders. Partnering with a Data Tech Lead, you will connect business needs with technical execution, ensuring the team focuses on the right problems. This role offers the opportunity to influence company-wide decisions through analytics, reporting, and data-driven strategy. You will also coach and develop team members, helping strengthen analytical thinking, communication, and stakeholder collaboration. Please note: This is a remote position open to candidates based in the EMEA region. Accountabilities <ul><li>Own the Data team&#x2019;s priorities, request intake, and triage, and facilitate team rituals such as planning sessions, reviews, and workshops. </li><li>Conduct hands-on analysis, build dashboards and business cases, and deliver recommendations that influence strategic and operational decisions. </li><li>Prepare data insights for recurring business reports, including weekly reporting and Monthly Business Reviews. </li><li>Collaborate with Product Managers to define tracking plans and success metrics in product requirements documents, aligning the data roadmap with product priorities. </li><li>Translate stakeholder questions into clear specifications, metric definitions, and acceptance criteria that enable the team to deliver meaningful outcomes. </li><li>Review and validate analyses, dashboards, and datasets to ensure accuracy, quality, and reliability before sharing them with internal or external stakeholders. </li><li>Coach and develop Data team members, strengthening their problem-framing, communication, and stakeholder-management skills. </li><li>Co-own the data roadmap with the Data Tech Lead, ensuring infrastructure and technical investments address real business needs. </li><li>Identify opportunities to improve revenue, pricing, growth, and business performance through data-driven insights. </li></ul>Requirements <ul><li>At least 6 years of experience in data analytics, analytics engineering, or data product management, including experience leading people or setting priorities for a small team. </li><li>Expert-level SQL skills, with the ability to independently query, validate, investigate, and challenge data without relying on engineers. </li><li>Hands-on experience building dashboards and reports using BI tools such as Omni, Superset, or similar platforms. </li><li>Strong business and product acumen, with a track record of using data to uncover revenue, pricing, and growth opportunities. </li><li>Sufficient technical depth to collaborate effectively with data engineers and discuss data warehouse design, pipelines, data models, and technical trade-offs. </li><li>Excellent stakeholder-management and communication skills, with the ability to work across Product, Engineering, Finance, Business Development, and executive teams. </li><li>Strong data storytelling skills, including the ability to translate complex findings into clear, actionable insights for both technical and non-technical audiences. </li><li>Experience in the crypto or DeFi ecosystem, ideally in a data role at a crypto company, or a demonstrable understanding of areas such as cross-chain infrastructure, DEX aggregation, bridges, or wallets. </li><li>Comfort working in a fast-paced, high-growth environment where priorities can shift and processes may need to be developed along the way. </li></ul>Nice To Have <ul><li>Python programming skills. </li><li>Experience with dbt and dimensional data modelling. </li><li>Knowledge of semantic layer design and metric definition management. </li><li>Experience preparing data, metrics, and documentation for reliable consumption by large language models (LLMs) and AI agents. </li><li>Machine learning modelling experience, including forecasting, classification, or anomaly detection. </li><li>Familiarity with on-chain data and analytics tools such as Dune Analytics. </li><li>Exposure to streaming data technologies such as Kafka. </li></ul>Candidates are encouraged to apply even if their experience does not cover every listed qualification but they believe their skills and background would enable them to succeed in the role. Benefits <ul><li>Annual company offsites, with previous destinations including Thailand, Vietnam, Morocco, and Greece. </li><li>30 days of paid time off. </li><li>Flexible remote working arrangements. </li><li>Flexible working hours. </li><li>Equity participation from day one. </li><li>A work computer, with a choice of equipment. </li><li>An annual &#x20AC;1,000 personal development budget after six months of employment, prorated during the first year. </li><li>A one-time &#x20AC;1,000 remote-work budget for coworking, home-office setup, or related expenses. </li></ul>How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role&apos;s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data Product Lead

<h2>About us</h2><a href="https://jobicy.com/company/ruby-labs" target="_blank" rel="noopener">Ruby Labs</a> is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: <a href="https://rubylabs.com/about-us/" rel="nofollow ugc noopener" target="_blank">https://rubylabs.com/about-us/</a><h2>About the role</h2>Join Ruby Labs as a Senior Data Analyst and become a key part of our fast-paced, rapidly growing team working on a new product – a job application platform that streamlines the hiring journey for professionals.In this role, you'll collect, categorize, and analyze data to create actionable reports that drive decision-making across the company. You'll uncover insights, identify growth opportunities, establish key benchmarks, and ensure we deliver a product that truly satisfies our customers' needs.We expect you to take full ownership of data pipelines, analytics, and insights, ensuring every decision is backed by reliable data. You'll work in a professional and dynamic environment where accuracy matters, constantly validating that our data is meaningful and actionable.<h2>Why Join Us</h2><ul><li>Work on an outstanding product: Our platform is trendy, fast-scaling, and redefining how people change their professional roles.</li><li>Make a direct impact: As a Senior Data Analyst, your insights will guide product decisions, influence the roadmap, and shape user experiences.</li><li>Tackle meaningful challenges: From decoding user intent across millions of interactions to optimising conversion funnels, you’ll face complex and exciting problems every day.</li><li>Grow with us: This is an ambitious journey with huge potential – perfect for someone eager to grow alongside a cutting-edge product and market.</li></ul><h2>Key Responsibilities</h2><ul><li>Partner with Product Owners and Data Teams across marketing, billing, and product domains.</li><li>Create new dashboards, maintain and improve existing reports such as Product Reports.</li><li>User behavior analysis, aha moment analysis.</li><li>Analyse data to generate actionable insights, find trends, patterns and provide recommendations to maximize KPIs.</li><li>Design and conduct A/B tests and homogeneity tests to validate hypotheses and measure impact.</li><li>Monitor metrics across all domains.</li><li>Design and build robust data models in SQL.</li><li>Give and receive actionable feedback to and from peers and the Leadership Team.</li></ul><h2>Qualifications</h2><ul><li>Degree in an analytical field such as Math, Data Science or Economics.</li><li>At least 3+ years of work experience as a Data Analyst.</li><li>Strong analytical and problem-solving skills, with the ability to identify trends, patterns, and insights in large datasets.</li><li>Excellent verbal communication.</li><li>Ability to think strategically and make data-driven decisions that align with the organisation’s goals.</li><li>Experience in Product Analytics.</li><li>Experience with Mixpanel, GA4, Amplitude or similar.</li><li>Advanced SQL.</li><li>Experience with popular BI tools such as Tableau, Looker, or similar.</li><li>Experience in subscription business.</li><li>Ability to adapt quickly, learn new tools and methods efficiently, and work effectively in a high-pressure, fast-changing environment.</li><li>Fluent English and Russian/Ukrainian.</li></ul><h2>Nice to have</h2><ul><li>Strong spoken and written English.</li><li>Experience in Marketing Analytics.</li><li>Experience with Python, R.</li><li>Experience with GCP, BigQuery.</li><li>Experience with Google Ads, Facebook Ads etc.</li><li>Experience with orchestration frameworks such as Airflow.</li><li>Experience with git and code review process.</li></ul><h2>Location</h2>Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.<h2>Benefits</h2>Discover the perks of being part of our vibrant team! We offer:<ul><li>Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. </li><li>Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. </li><li>Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. </li><li>Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. </li><li>Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: <a href="https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt" rel="nofollow ugc noopener" target="_blank">https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt</a></li></ul>Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!<h2>Interview Process</h2>After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:<ul><li>Recruiter Screening (40 minutes)</li><li>Technical Interview (90 minutes)</li><li>Final Interview (60 minutes)</li></ul><h2>Life at Ruby Labs</h2>At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.#LI-Remote

Senior Data Analyst

<h3>About <a href="https://jobicy.com/company/tile" target="_blank" rel="noopener">Life360</a></h3>
Life360's mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 102.4 million monthly active users (MAU), as of June 30, 2026, across more than 180 countries.
Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).
Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit <a href="http://life360.com/" rel="nofollow ugc noopener" target="_blank">life360.com</a>.
Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above.
<h3>We are AI Native</h3>
We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.
Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.
<h3>About The Team</h3>
The Data &amp; Analytics Team (DnA) is a 60+ person organization spanning data engineering, analytics engineering, analytics/decision science, and data science/ML. The science teams are organized into two sub teams, focusing on MAU and Revenue. This role leads decision science and data science within MAU.
You and your team will be responsible for understanding the drivers behind MAU: why members come, why they stay, and why they return. The team partners with product, marketing, and engineering to put those learnings into everyday work, and that work shapes our roadmaps.
Our data is unusual for a consumer company. Life360 measures families and circles rather than individuals, so one member's behavior affects another's, which makes measurement a different problem than a standard funnel. With billions of location events, driving behavior, crash detection, and Tile and Pet GPS trackers, we get a rich picture of physical behavior that few consumer companies can build.
<h3>About the Job</h3>
This Senior Director leads MAU Analytics and Data Science.
You and your team will work across acquisition, activation, engagement, and retention on the analysis, models, and experiments behind each. A lot of what this role owns needs to be built rather than maintained: the measurement, the standards, and how the team uses AI. The team is also raising its craft, and coaching people through that is an important part of the job. Within a year, your team members will be operating at an elevated skill level, proactively bringing key questions to light, and serving as trusted advisors whom stakeholders consult for strategic guidance rather than simple task execution.
You will report to the Head of Data and work closely with counterparts leading Revenue Analytics and Data Science, and with the leaders of Data Engineering.
For candidates based in the US, the salary range for this position is $247,000 to $366,000 USD. For candidates based out of Canada, the salary range for this position is $286,000 to $339,000 CAD. We take into consideration an individual's background, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers.
Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs), as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits.
<h3>What You'll Do</h3>
<ul>
<li>Lead and develop the decision scientists and data scientists on the team, and set the quality bar for both disciplines.</li>
<li>Own the MAU driver model and the forecast.</li>
<li>Own the exploratory work that drives the strategy to grow MAU.</li>
<li>Establish how an analysis gets scoped, run, reviewed, and written up, so its quality does not depend on who picked up the request.</li>
<li>Partner with your Revenue counterpart and Data Engineering leadership to define common metrics, align on experimentation standards, and introduce unified operating practices across teams.</li>
<li>Build the operating model that gets the team into the roadmap conversation early, with a view on what to build and what to test.</li>
<li>Use agents and automated analysis daily, and expect the same of the team.</li>
<li>Shape how the team works AI-native: what gets delegated to agents, what gets automated, and what stays human judgment.</li>
</ul>
<h3>What We're Looking For</h3>
Required Experience &amp; Qualifications
<ul>
<li>10+ years in analytics, data science, or decision science, including 5+ years in people management in a senior leadership role.</li>
<li>Deep expertise in inferential and causal analytics. Able to lead ML practitioners.</li>
<li>Expert knowledge of engagement, retention, churn, and cohort metrics.</li>
<li>Experience forecasting a company-level metric and being held to it.</li>
<li>SQL, plus Python or R. </li>
<li>Experience with Databricks, third party experimentation tools (e.g. Statsig), Tableau or similar BI tools, and AI native BI tools (e.g. Hex, AI/BI).</li>
<li>Hands-on with coding agents (Claude Code or equivalent) in your own analytical work.</li>
<li>Bachelor's degree or equivalent.</li>
</ul>
Nice to Have
<ul>
<li>Familiarity with experiment design to identify and control for network effects.</li>
<li>Master’s degree or PhD with an emphasis in social science, psychology or other behavioral science.</li>
<li>Experience leading a team that reports to you but sits embedded with product and engineering teams.</li>
<li>Experience in a B2C subscription business.</li>
</ul>
Core Expectations
<ul>
<li>You have moved an analytics team from reactive to embedded.</li>
<li>You coach and develop people, and you have grown analysts into leaders.</li>
<li>On your teams, analysis starts from a hypothesis rather than a data request.</li>
<li>You have built the standards a team works from, and got people to use them.</li>
<li>You are curious about why people behave the way they do, not just what they did.</li>
<li>You decide what the team does not work on, and you can defend it.</li>
</ul>
<h3>Our Benefits</h3>
<ul>
<li>Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer life and disability as well as supplemental plans for medical and dental for Canadian employees.</li>
<li>401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.</li>
<li>Paid parental leave</li>
<li>Mental Wellness Program &amp; Employee Assistance Program (EAP) for mental well-being</li>
<li>Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns</li>
<li>Learning &amp; Development programs</li>
<li>Equipment, tools, and reimbursement support for a productive remote environment.</li>
<li>Free Life360 Platinum Membership and Tile trackers.</li>
</ul>
<h3>Life360 Values</h3>
Our company's mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference
<ul>
<li>Be a Good Person - We have a team of high integrity people you can trust.</li>
<li>Be Direct With Respect - We communicate directly, even when it's hard.</li>
<li>Members Before Metrics - We focus on building an exceptional experience for families.</li>
<li>High Intensity, High Impact - We do whatever it takes to get the job done.</li>
</ul>
<h3>Our Commitment to Diversity</h3>
We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.
We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don't meet 100% of the below qualifications, you should still seriously consider applying!
#LI-Remote

Senior Director, Analytics and Data Science, Core Product & Growth

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<div class="p-rich_text_section">Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a class="c-link" href="http://www.redditinc.com/" target="_blank" data-stringify-link="http://redditinc.com" data-sk="tooltip_parent">www.redditinc.com</a>.</div>
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</div></div>Reddit is continuing to grow our teams with the best talent. This role is<a href="https://redditblog.com/2020/10/27/evolving-reddits-workforce/"> completely remote friendly</a> within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City &amp; Chicago) our doors are open for you to come into the office as often as you'd like.
Safety is central to Reddit’s mission and long-term health. Safety &amp; Mods Data Science operates as a closed-loop system: Safety Insights helps the organization understand, measure, and prioritize risk, while Safety Enforcement Data Science builds and optimizes the models, rules, and systems that detect and mitigate abuse effectively, efficiently, and fairly.
We are looking for a Senior Data Scientist to join Safety Enforcement Data Science. You will own one or more defined enforcement problem areas and translate ambiguous abuse risks and written policy into measurable signals, labels, detection approaches, actioning logic, and evaluation plans. You will work closely with Product, Engineering, Machine Learning, Policy, Safety Operations, Threat Intelligence, and Safety Insights partners to turn analysis into scaled mitigation.
This is a hands-on role. You will investigate adversarial behavior, prototype and evaluate models and rules, tune decision thresholds, define launch guardrails, diagnose enforcement gaps, and monitor systems after deployment. You will also help the team use modern AI methods—including language models—where they improve detection, investigations, labeling, or operational workflows, with rigorous evaluation and appropriate human oversight.
This role may involve exposure to sensitive content and participation in an incident-response on-call rotation, including occasional work outside normal hours.
Responsibilities:
<ul>
<li>Own the enforcement lifecycle. Lead a defined abuse or enforcement problem from problem framing and signal discovery through labels and taxonomies, model or rule development, thresholding, rollout, monitoring, and iteration.</li>
<li>Discover and characterize abuse. Analyze large-scale behavioral, content, account, and network data to identify adversarial patterns, emerging threats, and gaps in existing mitigations.</li>
<li>Build and evaluate decision systems. Develop models, classifiers, scoring systems, rules, and analytical prototypes using the statistical, machine-learning, or GenAI methods best suited to the problem.</li>
<li>Define decision-quality standards. Create evaluation frameworks that address precision, recall, calibration, coverage, robustness, fairness, user friction, reviewer capacity, and other operational costs—not model performance in isolation.</li>
<li>Ship with engineering partners. Partner with Engineering and Safety ML to productionize promising approaches; define data and logging needs, launch guardrails, monitoring and alerting, escalation paths, and rollback criteria.</li>
<li>Translate policy into systems. Work with Policy and Safety Operations to convert written policy and product requirements into modelable targets, labels, decision rules, reviewer workflows, and measurable enforcement outcomes.</li>
<li>Measure real-world impact. Design staged rollouts, experiments, and observational analyses that test whether interventions reduce harm while managing false positives and downstream effects on users, communities, and operations.</li>
<li>Respond and learn. Support investigations and urgent escalations, identify mitigation options, conduct post-incident analyses, and turn one-time findings into durable detection or monitoring improvements.</li>
<li>Scale the team’s effectiveness. Build reusable datasets, evaluation harnesses, monitoring tools, and documentation; communicate clear recommendations to technical and non-technical partners; and mentor junior peers when opportunities arise.</li>
<li>Stay ahead of the threat landscape. Track emerging abuse tactics and advances in detection, adversarial ML, language models, synthetic data, and human-in-the-loop safety systems, and apply them pragmatically.</li>
</ul>
Required Qualifications:
<ul>
<li>Education &amp; Experience: Ph.D. with 4+ years OR Master’s degree with 8+ years* of relevant industry experience in Data Science, Applied Science, Economics, or a related quantitative role (e.g., Statistics, Computer Science, Operations Research).</li>
<li>Applied experience in safety, enforcement engineering, fraud, or similar fast-paced, adversarial domains where data may be incomplete or evolving.</li>
<li>Expertise in SQL and Python to write production-grade, reusable analytical code and contribute directly to data pipelines.</li>
<li>Strong background in statistical analysis, experiment design, causal modeling, and ML techniques (e.g., classification, ranking, anomaly/pattern detection).</li>
<li>Practical knowledge of evaluating real-world decision systems, including sampling, label quality, class imbalance, precision/recall, calibration, thresholding, drift, and monitoring.</li>
<li>Proven ability to deconstruct ambiguous problems into scopable components, bias toward action, and drive impactful decisions alongside Product, Engineering, Operations, and Policy teams.</li>
<li>Exceptional communication skills with demonstrated ability to convey complex technical concepts, tradeoffs, and recommendations to both technical and non-technical stakeholders.</li>
</ul>
<h4>Preferred qualifications</h4>
<ul>
<li>Experience in Trust &amp; Safety, integrity, fraud, spam and abuse, account security, cybersecurity, risk, content moderation, or another adversarial domain.</li>
<li>Experience with one or more enforcement-relevant methods such as graph or network analysis, NLP, embeddings, sequence or behavioral modeling, weak supervision, synthetic data, or human-in-the-loop evaluation.</li>
<li>Experience applying language models to detection, investigations, labeling, reviewer assistance, or workflow automation—and measuring quality, cost, latency, and safety tradeoffs.</li>
<li>Experience partnering with engineers to launch and monitor models or rules in production, including incident response and post-launch tuning.</li>
<li>Experience designing prioritization or triage systems for human review operations, including analysis of reviewer quality and capacity.</li>
<li>Experience assessing fairness, bias, privacy, and policy-aware tradeoffs in automated decision systems.</li>
</ul>
Benefits:
<ul>
<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>
<li>401k with Employer Match</li>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave&nbsp;</li>
</ul>
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#LI-SP1<div class="content-pay-transparency"><div class="pay-input"><div class="description">Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit <a href="https://www.redditinc.com/careers/" target="_blank">https://www.redditinc.com/careers/</a>.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.</div><div class="title">The base salary range for this position is:</div><div class="pay-range">$190,800&mdash;$267,100 USD</div></div></div><div class="content-conclusion">In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.&nbsp; We will not sell your personal information or disclose it to any third party for their marketing purposes.&nbsp; We will delete any recording of your interview promptly after making a hiring decision.&nbsp; For more information about how we will handle your personal information, including our retention of it, please refer to our <a href="https://redditinc.com/policies/candidate-privacy-policy">Candidate Privacy Policy for Potential Employees and Contractors</a>.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.&nbsp; Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</div>

Senior Data Scientist, Safety Enforcement

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<div class="p-rich_text_section">Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a class="c-link" href="http://www.redditinc.com/" target="_blank" data-stringify-link="http://redditinc.com" data-sk="tooltip_parent">www.redditinc.com</a>.</div>
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</div></div>Reddit is a complex consumer ecosystem where users, content, communities, and conversations interact over time. We are looking for a very senior data science thought leader to shape how Reddit understands and improves that ecosystem for the user / consumer flywheel.
This role will define the measurement, modeling, and experimentation strategy for major Consumer questions: how users discover value, form habits, and deepen engagement; how we understand and serve user intent; how content and communities evolve; and how our systems create durable value for users, contributors, communities, and Reddit.
The ideal candidate will bring deep expertise in one or more areas of consumer science, such as:
<ul>
<li>Recommender systems and information retrieval</li>
<li>User modeling, personalization, lifecycle, LTV, or optimization</li>
<li>Content, community, or ecosystem modeling</li>
<li>Knowledge graphs and representations of users, content, and communities</li>
<li>Causal inference, experimentation, and long-term consumer measurement</li>
</ul>
You will partner with leaders across Product, Engineering, Research, and Community to turn ambiguous consumer problems into clear scientific questions, durable analytical systems, and decisions that improve Reddit at scale.
<h1>What you’ll do</h1>
<ul>
<li>Set the scientific direction for high-impact Consumer problems spanning discovery, relevance, personalization, user growth, retention, content, and communities.</li>
<li>Build a durable understanding of users, their intent, their needs, and the behaviors that lead to lasting value</li>
<li>Develop models and frameworks that represent users, content, communities, and their relationships over time for use in systems that operate at scale</li>
<li>Determine how to measure consumer and ecosystem health when objectives compete and short-term engagement may differ from long-term value.</li>
<li>Set learning agendas and steer experimentation strategy to distinguish durable improvement from temporary metric movement.</li>
<li>Build state-of-the-art measurement systems to evaluate heterogeneous effects across user personas, acquisition cohorts, platforms, content types, and community stages, and guide their actionability in production environments</li>
<li>Ensure coherence around ecosystem interactions including feedback loops, selection effects, interference, distribution shift, content supply, and other ecosystem risks.</li>
<li>Translate complex technical findings into clear product and business decisions.</li>
<li>Develop exceptional scientists through mentoring and influence data science org health and direction</li>
</ul>
<h1>Requirements</h1>
<ul>
<li>Deep expertise in at least one relevant area, with the breadth and curiosity to work across adjacent domains.</li>
<li>A deep understanding of how to model and optimize systems involving users, content, communities, and feedback loops.</li>
<li>Ability to frame and lead the most ambiguous questions, identify the most important uncertainties, and develop a rigorous path from evidence to action.</li>
<li>Exceptional technical judgment across model design, objective selection, validation, experimentation, and production tradeoffs.</li>
<li>Advanced knowledge of modern machine-learning methods for behavioral and content data, including representation learning and sequential or contextual models. Experience with deep-learning frameworks such as PyTorch or JAX.</li>
<li>Experience working across Product, Engineering, Research, and other partner teams.</li>
<li>Excellent written and verbal communication, with the ability to influence senior stakeholders and explain technical ideas clearly.</li>
<li>Significant experience applying data science, machine learning, statistics, experimentation, or causal inference to complex consumer products.</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description">Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit <a href="https://www.redditinc.com/careers/" target="_blank">https://www.redditinc.com/careers/</a>.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.</div><div class="title">The base salary range for this position is:</div><div class="pay-range">$313,000&mdash;$365,100 USD</div></div></div><div class="content-conclusion">In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.&nbsp; We will not sell your personal information or disclose it to any third party for their marketing purposes.&nbsp; We will delete any recording of your interview promptly after making a hiring decision.&nbsp; For more information about how we will handle your personal information, including our retention of it, please refer to our <a href="https://redditinc.com/policies/candidate-privacy-policy">Candidate Privacy Policy for Potential Employees and Contractors</a>.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.&nbsp; Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</div>

Principal Data Scientist, User Ecosystem

Job ID: 529999 Exempt Oldcastle, a CRH company, is reinventing what&apos;s possible in building solutions. We are the leading provider of innovative outdoor living products and utility infrastructure solutions for the water, energy, and communications markets throughout North America. We&apos;re a trusted and strategic partner to engineers, contractors, distributors, specifiers, retailers, and homeowners alike as the manufacturer of precast concrete, polymer concrete, and plastic infrastructure products. Our portfolio of brands includes Oldcastle APG, Oldcastle Infrastructure, Belgard&#xAE; hardscape, Echelon&#xAE; Masonry, RDI&#xAE; railing, Catalyst&#x2122; Fence Solutions, Sakrete&#xAE; packaged concrete, Amerimix&#xAE; mortar, Pebble Technology International&#xAE; pool finishes, and Techniseal&#xAE; sands and sealant technologies. Oldcastle Infrastructure - Built For Life from Oldcastle Infrastructure on Vimeo. The Senior Financial Analyst &#x2013; Manufacturing Analytics &amp; Business Intelligence will report directly to the Director of Financial Planning &amp; Analysis for the division and will serve as the lead analyst for top level business unit analysis, supporting financial planning, analysis, budgeting, and ad-hoc reporting. Responsibilities may include monthly reporting and variance analysis, examining and improving processes, understanding and developing tools, as well as assisting in development and review of business unit budgets and forecasts. This position will work closely with the business unit leaders to ensure timely and accurate review of results as well as the identification of actionable improvement opportunities. The ideal candidate combines strong financial acumen, analytical rigor, and business partnering skills to transform complex operational and financial data into actionable insights. This position plays a critical role in supporting executive decision-making, driving operational performance, enhancing financial visibility, and partnering closely with the Operational Center of Excellence to advance enterprise-wide strategic initiatives. Job Location This is a remote position Job Responsibilities Data Systems, Process Improvement &amp; Standardization <ul><li>Automate data preparation and recurring reporting, ensuring accuracy through reconciliation, validation, and consistent metric definitions.</li><li>Build and enhance Business Intelligence Dashboards (Tableau, etc.) and datasets (SQL tables) supporting financial reporting, planning applications, and multidimensional cubes.</li><li>Partner with IT to develop and maintain SQL queries, tables, and views in cloud data platforms to combine financial and manufacturing data for reporting and analysis.</li><li>Develop and maintain financial models, dashboards, and reporting tools to support strategic and operational decision-making.</li><li>Be a key team member in an overarching project to help improve, simplify and standardize processes and procedures within the organization. </li></ul>Financial Analysis <ul><li>Review of aggregate cost analysis for 60+ manufacturing sites to identify trends, issues, etc., and providing recommendations to business unit leaders on areas of improvement opportunities.</li><li>Prepare, analyze, and report out on key performance indicators for the business unit.</li><li>Assist with annual budget process and weekly forecast submissions for the business unit.</li><li>Assist with developing financial models and addressing ad hoc requests to provide actionable insights </li></ul>Business Partnering <ul><li>Collaborate with regional Finance Business Partners to align operational improvement initiatives, reporting, and performance measurement.</li><li>Evaluate operational initiatives and capital investments to ensure alignment with business objectives and expected financial outcomes.</li><li>Coordinate efforts between the Operational Excellence team and Finance Business Partners in each region. </li></ul>Job Requirements <ul><li>Bachelor&#x2019;s degree in Finance, Accounting, Computer Science, or related field.</li><li>5 + years of experience in a similar Finance, Accounting, or Accounting Information System Analyst role</li><li>2 + years of experience with manufacturing and/or cost accounting</li><li>Experience with data mining, building intricate queries and reports, and planning applications</li><li>Experience with complex ERP systems (e.g., SAP, Oracle, SysPro, Sage)</li><li>Experience with cloud-based consolidation systems and reports (e.g., Oracle EPM)</li><li>Advanced Microsoft Office skills</li><li>Travel &#x2013; up to 20%</li><li>Attention to details around producing high-quality products and meeting deadlines</li><li>Experience with utilizing AI technologies to enable efficient financial reporting</li><li>Proven ability to synthesize complex and detailed data and information into meaningful outtakes and decision-based information</li><li>Familiarity with operational excellence, lean manufacturing, continuous improvement, or productivity initiatives</li><li>In-depth understanding of measurement of goals and key performance indices</li><li>Ability to challenge information and uncover robust facts and data to improve insights and the quality of the final decision</li><li>Demonstrated ability to identify problems and think independently about alternative ways to solve problems based on analysis of data.</li><li>Ability to act independently as a subject matter expert with limited supervision</li><li>Ability to implement ideas across a multi-plant environment</li><li>Ability to influence others without a direct reporting relationship</li><li>Must possess strong oral / written communication and listening skills</li><li>Logical and analytical thinking, problem solving, grasping new ideas and skills quickly, understanding of accounting and finance, interpersonal relationships, understanding of and ability to work in a matrix organization </li></ul>Compensation Salary range $100-120K base with additional 15% bonus program Vacation hours of two weeks per year Sick leave benefits up to 56 hours per annum 401k plan Short-term and long-term disability benefits 11 paid holidays per year Annual community volunteer paid day What CRH Offers You <ul><li>Highly competitive base pay</li><li>Comprehensive medical, dental and disability benefits programs</li><li>Group retirement savings program</li><li>Health and wellness programs</li><li>An inclusive culture that values opportunity for growth, development, and internal promotion </li></ul>About CRH CRH has a long and proud heritage. We are a collection of hundreds of family businesses, regional companies and large enterprises that together form the CRH family. CRH operates in a decentralized, diversified structure that allows you to work in a small company environment while having the career opportunities of a large international organization. If you&#x2019;re up for a rewarding challenge, we invite you to take the first step and apply today! Once you click apply now, you will be brought to our official employment application. Please complete your online profile and it will be sent to the hiring manager. Our system allows you to view and track your status 24 hours a day. Thank you for your interest! Oldcastle Infrastructure, a CRH Company, is an Affirmative Action and Equal Opportunity Employer. EOE/Vet/Disability CRH is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. AI tools may be used in certain stages of the employment lifecycle, such as candidate review; however, all final employment decisions will be made by a person.

Senior Financial Analyst - Manufacturing Analytics & Business Intelligence

Overview Lead GTM Analyst &#x1F4CD; Location: Remote, USA &#x1F4BB; Work Arrangement: Remote About The Role The Lead GTM Analyst is responsible for driving data-informed decision-making across Hyland&apos;s marketing organization by analyzing campaign performance, end-to-end funnel health, and marketing&apos;s contribution to pipeline and revenue. This role applies advanced analytical expertise to evaluate pipeline performance and marketing effectiveness &#x2014; identifying opportunities to optimize conversion and influencing decision-making through actionable insights delivered to senior stakeholders. Operating with a high level of autonomy, this position defines analytical approaches and executes complex analyses to support strategic marketing initiatives. The Lead GTM Analyst serves as a trusted advisor to Marketing leadership &#x2014; providing consultative guidance on trends, performance drivers, and optimization strategies while contributing to reporting methodologies and performance frameworks. This individual is expected to operate as an innovative thought leader, proactively identifying opportunities, shaping best practices, and contributing to the overall growth and effectiveness of the marketing organization. Your Role Responsibilities? Here&apos;s What You&apos;ll Do. <ul><li>Lead analysis of pipeline health, funnel conversion, stage progression, pipeline coverage, and revenue performance across the demand waterfall &#x2014; identifying gaps versus targets and the operational and programmatic drivers impacting performance.</li><li>Measure and report on campaign effectiveness &#x2014; including lead generation, engagement, pipeline creation, influenced revenue, and return on marketing investment &#x2014; developing insights and recommendations to optimize marketing programs, targeting, and resource allocation.</li><li>Develop and maintain dashboards, scorecards, and executive-level reporting to support data-driven decision-making &#x2014; conducting ad hoc and strategic analyses to support planning, forecasting, and business decision-making.</li><li>Partner with Marketing leadership to assess performance and influence decisions related to channel effectiveness, messaging, audience targeting, and resource allocation &#x2014; presenting findings and recommendations in a clear and actionable manner to senior stakeholders.</li><li>Collaborate with cross-functional stakeholders to define and evolve KPIs, measurement frameworks, and reporting standards &#x2014; identifying opportunities to improve data quality, reporting accuracy, and measurement processes.</li><li>Operate as an innovative thought leader and trusted advisor &#x2014; mentoring and coaching team members, staying current on marketing analytics best practices and emerging technologies, and contributing to the overall growth and quality of the marketing organization. </li></ul>Role Essentials <ul><li>Bachelor&apos;s degree in Marketing, Business Analytics, Statistics, Economics, or a related field (or equivalent experience), with 8+ years of experience in marketing analytics, campaign performance, pipeline analytics, or demand generation analytics.</li><li>Strong understanding of revenue funnel management, pipeline analytics, and B2B SaaS marketing performance metrics &#x2014; including funnel conversion, demand generation, and revenue attribution.</li><li>Proven ability to analyze complex data sets and translate insights into actionable business recommendations &#x2014; with a demonstrated ability to influence senior stakeholders and drive strategic decision-making through data-driven insights.</li><li>Experience building executive-level dashboards and presenting insights to senior stakeholders &#x2014; with strong communication skills and the ability to translate technical insights clearly for non-technical audiences.</li><li>Strong organizational and prioritization skills &#x2014; with the ability to manage multiple initiatives simultaneously and collaborate effectively across a matrixed organization. </li></ul>What We&apos;d Like to See <ul><li>Experience leveraging AI-enabled analytics, predictive modeling, or automation technologies in marketing or revenue operations environments.</li><li>Experience supporting B2B SaaS or enterprise software organizations &#x2014; with knowledge of pipeline forecasting and revenue performance metrics.</li><li>Experience analyzing multi-channel marketing programs &#x2014; including digital, events, content, and partner marketing.</li><li>Experience building automated reporting and self-service analytics solutions to improve reporting efficiency and stakeholder access to insights.</li><li>Familiarity with AI-driven analytics or predictive modeling tools &#x2014; with a passion for staying current on marketing analytics best practices, industry trends, and emerging technologies. </li></ul>Pay Transparency The compensation range for this role is $136,587 &#x2013; $150,196 per year. Actual compensation will be determined based on experience, qualifications, and other job-related factors in accordance with applicable laws. About Hyland Hyland is the pioneer of the Content Innovation Cloud&#x2122;, delivering ubiquitous enterprise intelligence to organizations with solutions that unlock actionable insights and drive automation. Trusted by thousands of organizations worldwide, including many of the Fortune 100, Hyland&apos;s solutions create the foundation for a connected, agentic enterprise, where teams harness the power of AI to redefine how they operate and engage with those they serve. For additional information on Hyland&apos;s platform and services, please visit Hyland.com . &#xA9; Hyland. All rights reserved. About Hyland Life #HylandLife Since 1991, it has been Hyland&apos;s mission to help our employees, customers and partners exceed their potential with our industry-leading content services platform . Our employees exude a contagious energy and are passionate about what they do &#x2013; whether it&apos;s helping customers succeed, raising up their fellow Hylanders, or engaging in the communities where they live and work. The #HylandLife hashtag encompasses our employee-centric culture. Our employees live our culture day in and day out by bringing their best self to work. Hyland supports them to do just that through career development resources, wellbeing programs and innovation practices. We thrive on diverse viewpoints and new ideas and believe that a positive, inclusive workplace is imperative to sustainable success. As we&apos;ve grown to a company of nearly 4,000 strong, we have the opportunity to make a significant impact on our communities . We strongly support employee initiatives and align our giving campaigns and programs to organizations that are important to them. Equal Opportunity Statement Hyland is an equal opportunity employer. We value diversity and are committed to providing an inclusive workplace for all employees and applicants. Employment decisions are made without regard to any characteristic protected by applicable laws and regulations. Information collected during the hiring process is used solely to assess qualifications, verify identity, and comply with legal requirements.

Lead GTM Analyst

We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as <a href="https://monzo.com/current-account/personal" rel="nofollow ugc noopener" target="_blank">personal</a> and <a href="https://monzo.com/business-banking" rel="nofollow ugc noopener" target="_blank">business</a> bank accounts, we offer <a href="https://monzo.com/current-account/joint-account" rel="nofollow ugc noopener" target="_blank">joint accounts</a>, <a href="https://monzo.com/current-account/16-17" rel="nofollow ugc noopener" target="_blank">accounts for 16-17 year olds</a>, a <a href="https://monzo.com/current-account/under-16s" rel="nofollow ugc noopener" target="_blank">free kids account</a> and <a href="https://monzo.com/flex" rel="nofollow ugc noopener" target="_blank">credit cards</a> in the UK, with more exciting things to come beyond. Our UK customers can also <a href="https://monzo.com/savings" rel="nofollow ugc noopener" target="_blank">save</a>, <a href="https://monzo.com/investments" rel="nofollow ugc noopener" target="_blank">invest </a>and <a href="https://monzo.com/pensions" rel="nofollow ugc noopener" target="_blank">combine their pensions</a> with us. 
With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
We’re not about selling products - we want to solve problems and change lives through <a href="https://jobicy.com/company/monzo" target="_blank" rel="noopener">Monzo</a> ❤️
<hr>
<h3>London or Barcelona | UK remote | £95,000 to £130,000 + Incentive Awards tied to your performance +<a href="https://monzo.com/careers/#benefits" rel="nofollow ugc noopener" target="_blank"> Benefits</a>|<a href="https://monzo.com/blog/technology" rel="nofollow ugc noopener" target="_blank"> Technology</a> -<a href="https://monzo.com/blog/data" rel="nofollow ugc noopener" target="_blank"> Data</a> </h3>
<h3>About our Data Science Teams:</h3>
We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2026 and help us to build a bank that customers truly love.
At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
Enable Monzo to Make Better Decisions, Faster
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
How we hire
We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future!
<h3>What you’ll be working on:</h3>
<ul>
<li>Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day</li>
<li>Develop and execute best practices for experimentation enabling our team to make data informed decisions</li>
<li>Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.</li>
<li>Work closely with leaders in product, engineering, design and research to build and iterate on product ideas </li>
</ul>
<h3>You should apply if:</h3>
<ul>
<li>You enjoy working with cross functional fast moving teams</li>
<li>You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers</li>
<li>You are excited about mentoring other data scientists and analytics engineers </li>
<li>You are excited by experimentation and utilising new data techniques to solve challenging problems </li>
<li>You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features</li>
<li>You are opinionated about how to think about measuring success and are willing to challenge the status quo</li>
</ul>
The interview process:
Our interview process involves: 
<ul>
<li>Recruiter Call</li>
<li>Initial Call </li>
<li>Technical assessment</li>
<li>Final Interviews</li>
<ul>
<li>Business Fit/Collaboration</li>
<li>Case Study</li>
<li>Technical Interview</li>
</ul>
</ul>
Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process.
One of our recruiters has written a blog on the process, for extra details, hints and tips please see<a href="https://monzo.com/blog/2022/03/21/data-hiring-at-monzo" rel="nofollow ugc noopener" target="_blank"> Data Hiring at Monzo</a>
<h3>What’s in it for you:</h3>
 £95,000 to £130,000 + Incentive Awards tied to your performance + Benefits
✈️ We can help you relocate to the UK or Spain
✅ We can sponsor visas 
This role can be based in our London or Barcelona offices, but we're also open to distributed working within the UK (with ad hoc meetings in London).
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
Learning budget of £1,000 a year for books, training courses and conferences
➕And much more, see our full list of benefits <a href="https://monzo.com/careers/" rel="nofollow ugc noopener" target="_blank">here</a>
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-NB2 #LI-Remote
<hr>
Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our <a href="https://monzo.com/blog/diversity-and-inclusion" rel="nofollow ugc noopener" target="_blank">blog</a>, 2026 <a href="https://monzo.com/blog/our-2026-diversity-and-inclusion-report" rel="nofollow ugc noopener" target="_blank">Diversity and Inclusion Report</a> and 2025 <a href="https://monzo.com/blog/gender-pay-gap-report-2025" rel="nofollow ugc noopener" target="_blank">Gender Pay Gap Report.</a>
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
If you have a preferred name, please use it to apply. We don't need full or birth names at application stage

Lead Data Scientist

We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as <a href="https://monzo.com/current-account/personal" rel="nofollow ugc noopener" target="_blank">personal</a> and <a href="https://monzo.com/business-banking" rel="nofollow ugc noopener" target="_blank">business</a> bank accounts, we offer <a href="https://monzo.com/current-account/joint-account" rel="nofollow ugc noopener" target="_blank">joint accounts</a>, <a href="https://monzo.com/current-account/16-17" rel="nofollow ugc noopener" target="_blank">accounts for 16-17 year olds</a>, a <a href="https://monzo.com/current-account/under-16s" rel="nofollow ugc noopener" target="_blank">free kids account</a> and <a href="https://monzo.com/flex" rel="nofollow ugc noopener" target="_blank">credit cards</a> in the UK, with more exciting things to come beyond. Our UK customers can also <a href="https://monzo.com/savings" rel="nofollow ugc noopener" target="_blank">save</a>, <a href="https://monzo.com/investments" rel="nofollow ugc noopener" target="_blank">invest </a>and <a href="https://monzo.com/pensions" rel="nofollow ugc noopener" target="_blank">combine their pensions</a> with us. 
With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
We’re not about selling products - we want to solve problems and change lives through <a href="https://jobicy.com/company/monzo" target="_blank" rel="noopener">Monzo</a> ❤️
<hr>
London/Cardiff/UK Remote | £115,000 - £150,000 + Incentive Awards tied to your performance + <a href="https://monzo.com/careers/" rel="nofollow ugc noopener" target="_blank">Benefits</a> ✨
<h3>About our Machine Learning Search Team</h3>
We are currently embarking on one of our two top strategic priorities to make Money work for Everyone: building the Monzo Co-pilot. We are becoming an intelligent, proactive ally that handles the complexity of users financial life. We aren't just selling financial products; we are building a truly smart agent that understands users, anticipates their needs, and helps people reach their financial goals.
Our ML Search team brings together Backend, Product, Machine Learning Scientists and Data Scientists. As a Lead Machine Learning Scientist, you’ll build and ship models that help customers search for and find answers about their financial lives. You'll make it effortless for them to find the right products at the exact moment they need them.
Whether it’s surfacing the right savings product at the perfect moment, helping customers manage their spending, or simplifying financial planning, our work makes banking smarter, more intuitive, and truly customer-first.
<h3>What you’ll be working on:</h3>
As a Lead Machine Learning Scientist, you'll be a technical leader and individual contributor. We have a modern, cloud-native data platform with billions of rows of data built for fast iterations. You'll leverage your deep expertise to develop and deploy advanced ML models to our more than 15 million customers.
Your work may involve user and product embeddings to better understand customer behaviours, contextual bandits for optimising real-time decisions, or personalised ranking algorithms that improve search and discovery. You'll also build scalable, explainable, and responsible AI solutions that enhance trust, transparency, and the overall customer experience.
The technical approaches you take to help solve customer problems will be very much in your hands and we’ll strongly encourage and support experimentation and innovation. We’ll be expecting you to justify and demonstrate effectiveness along the way, making sure the approach meets our business and customer needs.
<h3>You should apply if:</h3>
What we’re doing here at Monzo excites you!
<ul>
<li>You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company</li>
<li>You have experience developing and shipping state of the art ML models to production and delivering business impact</li>
<li>You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production</li>
<li>You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so</li>
<li>You speak Python fluently and have extensive, hands-on experience with <code>scikit-learn</code>. You are comfortable using SQL, and keen to learn <a href="https://go.dev/" rel="nofollow ugc noopener" target="_blank">Go lang</a> which is used in many of our backend microservices</li>
<li>You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity</li>
<li>You want to be involved in building a product that you (and the people you know) use every day</li>
<li>You have a product mindset: you care about customer outcomes and you want to make data-informed decisions</li>
<li>You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain</li>
<li>You’re adaptable, curious and enjoy learning new technologies and ideas</li>
</ul>
<h3>Nice to haves:</h3>
<ul>
<li>Experience working on personalisation, ranking &amp; recommendation problems for consumer applications</li>
<li>Commercial experience writing critical production code and working with microservices</li>
</ul>
<h3>The interview process:</h3>
Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
30 minute recruiter call
45 minute call with hiring manager
Full Loop: ML Modelling Interview, Product &amp; ML interview, Behavioural Interview, Leadership interview
Our average process takes around 3-4 weeks but we will always work around your availability.
<h3>What’s in it for you: </h3>
✈️ We can help you relocate to the UK
✅ We can sponsor visas
This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
Learning budget of £1,000 a year for training courses and conferences
➕And much more, see our full list of benefits <a href="https://monzo.com/careers/" rel="nofollow ugc noopener" target="_blank">here</a>
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance
#LI-REMOTE #LI-SR1
<hr>
Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our <a href="https://monzo.com/blog/diversity-and-inclusion" rel="nofollow ugc noopener" target="_blank">blog</a>, 2026 <a href="https://monzo.com/blog/our-2026-diversity-and-inclusion-report" rel="nofollow ugc noopener" target="_blank">Diversity and Inclusion Report</a> and 2025 <a href="https://monzo.com/blog/gender-pay-gap-report-2025" rel="nofollow ugc noopener" target="_blank">Gender Pay Gap Report.</a>
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
If you have a preferred name, please use it to apply. We don't need full or birth names at application stage

Lead Machine Learning Scientist, Search

<h3>About <a href="https://jobicy.com/company/tile" target="_blank" rel="noopener">Life360</a></h3>
Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 102.4 million monthly active users (MAU), as of June 30, 2026, across more than 180 countries. 
Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).
Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit <a href="http://life360.com/" rel="nofollow ugc noopener" target="_blank">life360.com</a>.
Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above. 
<h3>We are AI Native</h3>
We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.
Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.
<h3>About The Team</h3>
The Revenue Experimentation team (Direct Revenue org) is the engine behind how we grow and monetize Life360 responsibly. We design, ship, and analyze high-velocity experiments across ads, subscriptions, and one-time purchases — pricing, paywalls, ad placement and mediation, upsell and upgrade flows — so every monetization decision is grounded in evidence, not instinct. Our work directly shapes the revenue behind nearly 100 million members. We are a product-minded, AI-Native engineering team. AI isn't just a tool we use — it's how we work. We treat it as a first-class collaborator at every stage: ideation, coding, testing, review, and iteration. We ship faster and go deeper because of it, and we're looking for someone who wants to help define what that looks like at scale.
<h3>About the Job</h3>
As a Lead Data Scientist, you will own the path from revenue opportunity to production ML for Direct Revenue, the business unit responsible for growing active users, subscriptions, revenue-generating transactions, and in-app advertising across Life360's more than 100 million monthly active users. You will find the opportunities, size them, agree on priorities with business leads, and ship the models alongside the team's data scientists and engineers. 
This role matters now because the team is expanding to cover consumer-facing ads, including recommendations and personalization, and needs a senior scientist who pairs a deep understanding of the problem with the ability to put models into production. In your first year, you will help the team scale the amount of production ML it delivers and help set the team's roadmap with the data science lead and the product manager.
For candidates based in the US, the salary range for this position is $175,000 to $218,000 USD. For candidates based out of Canada, the salary range for this position is $171,500 to $202,500 CAD. We take into consideration an individual's background, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers.
Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs), as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits.
<h3>What You’ll Do</h3>
<ul>
<li>Conduct deep investigations into revenue-generating options and the data behind them, and use them to size, scope, and measure product changes in Databricks.</li>
<li>Design, build, deploy, and operate production ML systems, from batch inference to online services to online learning models, using the team's feature store and model registry, for personalization, experimentation, and automation use cases.</li>
<li>Partner with Product, Mobile Engineering, Cloud Engineering, Data Engineering, and MLOps to integrate these systems into user-facing features.</li>
<li>Set up monitoring for new ML-based features so their performance and business impact are measured.</li>
<li>Implement lineage tracking for data, code, and model artifacts to keep the ML lifecycle compliant, reproducible, and secure.</li>
<li>Improve the data ecosystem with Data Engineering, including the pipelines that feed experimentation and ML.</li>
<li>Mentor other data scientists and define best practices for advanced analytics and ML system development.</li>
<li>Use Claude Code and other AI tools across data discovery, modeling, and experiment evaluation.</li>
</ul>
<h3>What We’re Looking For</h3>
<h3>Expected Experience &amp; Qualifications</h3>
<ul>
<li>Education: advanced degree in a field that relies on sophisticated statistical analysis or equivalent industry experience.</li>
<li>Professional Experience: 6+ years of experience scoping, building, and analyzing ML-powered systems, including models you have shipped to production.</li>
<li>Programming Proficiency: Significant experience with Python and scikit-learn, PySpark, and causal inference programming languages, including familiarity with software engineering best practices (testing, modularization, version control, etc.).</li>
<li>Causal Inference: Technical training and professional experience applying modern causal inference and causal analysis techniques.</li>
<li>Instrumentation and Measurement: Significant experience working with found data, guiding instrumentation to generate new data, and implementing data transformations to support complex analyses and ML system development.</li>
<li>Experimentation: Hands-on experience setting up experiments in the consumer technology space, including experiment design, monitoring, and analysis of results.</li>
<li>Consumer Product Experience: Experience building ML or running experiments at a consumer (B2C) technology company, ideally on revenue work such as subscriptions, transactions, or ads.</li>
<li>Communication and Leadership: Strong communication and project leadership skills, with the ability to influence cross-functional teams.</li>
<li>Problem Solving: Strong capability to solve ambiguous problems in a structured, hypothesis-driven, data-supported way.</li>
<li>Generative AI &amp; LLMs: Prior experience leveraging LLMs in advanced data processing and analysis workflows.</li>
</ul>
<h3>Preferred Qualifications</h3>
<ul>
<li>Digital Advertising: Experience with modern digital advertising, including ad tech infrastructure.</li>
<li>Feeds and Ranking: Experience with ranking and grouping algorithms for content feeds.</li>
<li>Advanced Tooling: Experience contributing to and managing production feature stores and ML model registries.</li>
<li>Revenue Partnership: Experience working with product line GMs, including familiarity with revenue reporting and forecasting analyses.</li>
<li>Subscription Products: Experience in subscription-based products, lifecycle marketing, or user acquisition.</li>
<li>Geospatial: Experience with geospatial data and mobile location-based services.</li>
</ul>
<h3>AI-Native Expectations</h3>
<ul>
<li>Daily use: Running parallel workstreams instead of hand-holding one agent at a time.</li>
<li>Judgment and ownership: Review AI-generated code, analyses, and models as critically as a colleague's pull request. You are accountable for everything you ship, whoever or whatever wrote it.</li>
<li>Velocity: Turn AI fluency into output. We expect you to deliver more production ML, faster, than the same work would take without AI.</li>
<li>Team leadership: Share your AI workflows with the team and raise the AI fluency of the data scientists and engineers around you.</li>
<li>Continuous learning: Keep up with new AI tools and techniques, test them on real team problems, and bring recommendations to the team.</li>
</ul>
<h3>Our Benefits</h3>
<ul>
<li>Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer life and disability as well as supplemental plans for medical and dental for Canadian employees.</li>
<li>401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.</li>
<li>Paid parental leave.</li>
<li>Mental Wellness Program &amp; Employee Assistance Program (EAP) for mental well-being.</li>
<li>Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns.</li>
<li>Learning &amp; Development programs.</li>
<li>Equipment, tools, and reimbursement support for a productive remote environment.</li>
<li>Free Life360 Platinum Membership and Tile trackers.</li>
</ul>
<h3>Life360 Values</h3>
Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference 
<ul>
<li>Be a Good Person - We have a team of high integrity people you can trust. </li>
<li>Be Direct With Respect - We communicate directly, even when it’s hard.</li>
<li>Members Before Metrics - We focus on building an exceptional experience for families. </li>
<li>High Intensity, High Impact - We do whatever it takes to get the job done. </li>
</ul>
<h3>Our Commitment to Diversity</h3>
We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.
We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. 
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying!

#LI-Remote

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