Job Title: Power BI Developer Location: Remote (with occasional travel to the West Midlands office) Salary: &#xA3;40,000 - &#xA3;50,000 per annum + Benefits About the RoleOur professional services customer is embarking on an exciting digital transformation and have recently designed and built a modern data platform with an external delivery partner. As such we are seeking an experienced Power BI Developer to take ownership of the reporting and analytics layer. Working closely with internal stakeholders and a Senior Data Engineer, you will translate key KPIs into intuitive and accurate reporting solutions. Working alongside external partners to manage a smooth knowledge transfer of reporting solutions, you will then take ownership to support and extend the suite. Key Responsibilities<ul><li>Reporting Ownership: Own, develop, and maintain Power BI reporting solutions.</li><li>Dashboard &amp; Model Creation: Translate agreed KPIs and business requirements into robust Power BI models, DAX measures, interactive dashboards, and comprehensive reports.</li><li>Data Integrity: Ensure all reporting output is accurate, fully reconciled and intuitive</li><li>Collaborative Transition: Engage with external development partners and key internal stakeholders during the transition phase to ingest the current data platform setup.</li><li>Continuous Improvement: Understand the underlying dimensional data models to optimise and extend the reporting suite as business requirements grow.</li></ul> Skills &amp; Experience Required<ul><li>Power BI: Strong, demonstrable experience in Power BI, DAX, and semantic/data modelling</li><li>SQL skills with the ability to comfortably navigate and understand underlying dimensional data models in a modern data warehouse environment.</li><li>Stakeholder engagement: work closely with business stakeholders to translate complex requirements into user-friendly analytics.</li></ul> <ul><li>Nice to have: Experience working with MS Fabric within a modern data estate.</li><li>Also Nice to have: Experience in professional services reporting (inc. financial data).</li></ul> What We Offer<ul><li>Competitive salary of &#xA3;40,000 - &#xA3;50,000 depending on experience.</li><li>A Remote first working environment with occasional travel required to the West Midlands.</li><li>The opportunity to shape the analytics culture of an organisation using a cutting-edge data stack.</li></ul> For further information or a confidential discussion on the role contact Dave Flynn at Meraki Talent today: david.flynn@merakitalent.com / 01312972709

Power BI Developer

How To Apply Don&apos;t send a CV! Send us something that shows who you actually are: a video, a voice note, or something you built with AI. Anything, as long as it isn&apos;t a CV, and a real person will read, watch or listen to it and come back to you. About Us The way we work has changed forever. AI is transforming every industry. Expectations are higher than ever. Skills have the shortest shelf life they&apos;ve ever had. Yet most businesses are still relying on disconnected systems, outdated technology and workplace learning that people simply don&apos;t want to use. We think that&apos;s broken. So we built something better. Thrive is the AI platform that&apos;s reinventing how modern businesses connect people, knowledge, skills and communication in one place. It&apos;s where work starts, learning happens and people get the answers they need to do their best work. Today, more than 3 million people across 60+ countries use Thrive every day. Over 500 ambitious organisations, including Vodafone, Volvo, British Airways and Krispy Kreme, trust us to power their people. But this is only the beginning. We&apos;re building the future of work, and we&apos;re looking for curious people who want to build it with us. People who challenge convention. Who move fast. Who care deeply about creating products customers genuinely love. People who aren&apos;t afraid to ask, &quot;Why has it always been done this way?&quot; and then go and build something better. If you want to solve meaningful problems, shape technology used by millions of people around the world and do the best work of your career alongside ambitious, supportive teammates, you&apos;ll thrive here. The Role At Thrive, we believe learning should make a real difference to people, performance and the organisations we work with. And data is a huge part of proving that impact. We&#x2019;re looking for a Learning Insights Analyst to work closely with some of our largest and most strategic enterprise customers, helping them turn complex data into clear, meaningful stories about learning, engagement and business impact. You&#x2019;ll bring strong experience with Snowflake and data visualisation tools such as Power BI or Tableau and Looker, but this role is about much more than building dashboards. You&#x2019;ll get under the skin of what our customers are trying to achieve, bring together data from different sources, ask great questions and help them uncover insights they can actually act on. You&#x2019;ll work collaboratively with customers and teams across Thrive on a range of interesting, complex and high-impact projects, from bespoke reporting and experimentation through to helping shape the future of our analytics product. Core Responsibilities <ul><li>Turning data into stories: You&#x2019;ll bring together multiple data sources and build models that help our customers understand the full learner journey, turning complex datasets into clear, useful and compelling insights.</li><li>Creating brilliant customer analytics: Our enterprise customers are complex, and no two are exactly the same. You&#x2019;ll build bespoke analytics, dashboards and reporting that reflect their individual goals, data landscape and challenges.</li><li>Building trusted customer relationships: You&#x2019;ll develop strong relationships across our key enterprise accounts, becoming a trusted analytics partner to customer stakeholders.</li><li>Helping shape what we build next: You&#x2019;ll be close to the challenges our biggest customers are trying to solve, giving you a brilliant opportunity to bring those insights back into Thrive. You&#x2019;ll help identify reporting and analytics requirements, influence our product roadmap and continually improve the way we help customers understand the impact of learning.</li><li>Making complex things feel simple: Whether you&#x2019;re talking to a data team, a learning leader or a senior stakeholder, you&#x2019;ll be able to translate the detail into a story that makes sense and helps people make better decisions. </li></ul>Who You Are You&#x2019;re someone who gets genuinely excited about what data can tell us, but, just as importantly, what people can do with that insight. You&#x2019;ll be curious enough to keep asking why, commercial enough to understand what matters to our customers and confident enough to work with stakeholders across large, complex organisations. What You&apos;ll Bring Essential Skills <ul><li>Strong analytics experience and a track record of using data to create meaningful value for customers, the business, or both.</li><li>Experience with Snowflake and visualisation tools such as Power BI or Tableau or Google Looker.</li><li>Experience working with REST APIs and bringing together data from multiple sources.</li><li>Confidence working with large enterprise customers, where data environments, requirements and stakeholder groups can be complex.</li><li>A natural ability to build trusted relationships and communicate comfortably with technical and non-technical stakeholders alike.</li><li>The ability to turn complex analysis into clear stories, recommendations and actions.</li><li>A curious mindset you&#x2019;ll want to understand the problem behind the request, rather than simply build what&#x2019;s been asked for.</li><li>An interest in experimentation and using data to understand what&#x2019;s working, what isn&#x2019;t and what we can learn from it.</li><li>Great project and time management skills, with the ability to balance multiple customer priorities and keep things moving.</li><li>A continuous-i mprovement mindset, you&#x2019;ll spot opportunities to make our processes smarter, simpler and more scalable.</li><li>An interest in learning technology and the role data can play in helping organisations get more from learning. Experience in the industry is a bonus, but definitely not essential. </li></ul>Experience with MongoDB and AWS cloud architecture would be a bonus, but isn&#x2019;t required. Above all, you&#x2019;ll be ambitious, collaborative and curious. You&#x2019;ll care about doing brilliant work for our customers, enjoy solving difficult problems with great people and want to help us keep pushing what learning analytics can do. Benefits <ul><li>Unlimited Holiday to support work-life balance</li><li>Thrivedays&#x2014;a reduced workday every Friday (10:00&#x2013;15:00), with no internal meetings</li><li>Flexible Working Hours within core hours (10:00&#x2013;16:00)</li><li>Birthday &amp; Christmas Off, including festive shutdown between Christmas &amp; New Year</li><li>Work From Anywhere&#x2014;fully remote-friendly (4 weeks a year)</li><li>Health Cash Back Plan with Health Shield</li><li>Employee Assistance Program for confidential support</li><li>Financial support program via Maji</li><li>Salary Sacrifice Pension Scheme</li><li>Death in Service (4x annual salary)</li><li>Green Car Scheme through salary sacrifice</li><li>Cycle to Work Scheme&#x2014;save up to 42% on a new bike</li><li>Perks at Work&#x2014;30,000+ national &amp; local employee discounts via CharlieHR &amp; Health Shield </li></ul>What To Expect We believe that finding a new job should be an enjoyable process. We&#x2019;re passionate about bringing our whole selves to work, so what you see is what you get. All we ask from you, is that you show us your authentic self. We&#x2019;re looking for people who bring something new to the team, who add to our culture and make it even greater. Our interview stages will be: <ul><li>Initial Screening Call: If we think you&apos;re a great addition to the team, you&apos;ll be invited to an introductory call with a member of our People Team. This is a chance to tell you about Thrive and give you an opportunity to ask questions.</li><li>First-Stage Interview: Following the initial call, you will have a first-stage interview with a member of the team you&apos;d be joining. This is a chance for us to get to know you better and for you to ask any questions about the role. We&apos;ll also discuss why Thrive interests you and what you feel you can add to our team.</li><li>Assessment Task: We may ask you to complete a practical assignment or case study between interview stages.</li><li>Final Stage Interview: You will meet with the Hiring Manager and/or a senior team member for a final interview. This stage is typically used for a more in-depth discussion and may involve a review of your assessment. </li></ul>At Thrive, we&#x2019;re on a mission to build an inclusive, welcoming culture that encourages and actively supports diversity. Our race, gender, religion, background, sexuality and beliefs are what make us unique. Our people are expected to always treat each other with respect, care and compassion. This starts from the moment you apply for a role at Thrive Learning, so we want you know we&#x2019;re an equal opportunity employer. We will always strive to be as inclusive as possible in all aspects of employment and have a zero-tolerance policy for discrimination of any kind. If you require any assistance, accommodations, or support during the application or interview stages, please don&apos;t hesitate to contact Ella Holland at ella.holland@thrivelearning.com. We&apos;re happy to help!

Learning Insights Analyst

The International Rescue Committee (IRC) responds to the world&apos;s worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world&apos;s largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you&apos;re a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future. Background/IRC Summary The International Rescue Committee (IRC) responds to the world&#x2019;s worst humanitarian crises and helps people whose lives and livelihoods are shattered by conflict and disaster to survive, recover, and gain control of their lives. Founded in 1933 at the request of Albert Einstein, the IRC works with people forced to flee from war, conflict and disaster and the host communities which support them, as well as those who remain within their homes and communities. At work today in over 40 countries and 25 U.S. cities, we improve outcomes in the areas of health, safety, economic wellbeing, education and power. The IT department provides end-to-end technology solutions for the organization, including Application Development, Integration and Management, Enterprise Architecture, User Experience, Quality Assurance &amp; Testing, and overall Product Management. While this role sits within IT, its focus is on partnering with the Measurement, Evaluation, Technology, Accountability, and Learning (METAL) Unit &#x2014; bringing IT&apos;s systems and development expertise to METAL&apos;s technology and data priorities. The METAL Unit supports Crisis Response, Recovery &amp; Development (CRRD) in building a culture of strong data and evidence use through stewardship of the Data &amp; Performance Ecosystem, and coordinates the piloting and uptake of innovative technology solutions across four pillars: Global METAL Practice, Technology for Programs, Regional METAL Support, and CRRD Data &amp; Analytics. This role is anchored in Technology for Programs which maintains the tools and systems that support program teams&apos; data collection and use in the field. Job Overview/Summary Focused on data collection and program administration technology support, the Software Developer Analyst is a member of the team responsible for developing, implementing, and supporting IRC&#x2019;s global Data Toolkits and the analysis of the data generated by these products. This includes CommCare, Microsoft Power BI, and Microsoft SQL Server Azure based data warehouse. Working in partnership with staff at various levels and locations, the Software Developer Analyst performs a key role in analyzing, developing, and improving tools and processes contributing to the successful rollout of the Data Toolkits products. Specific tasks include data platform development, support, configuration, technical assistance and issues routing, second line help desk support, and participation in setting standards for processes, data quality, security, and systems configurations. Major Responsibilities <ul><li>Design, develop, and maintain Data Toolkits in CommCare</li><li>Design and build PowerBI Dashboards linked to live CommCare data</li><li>Review and analyze software requirements, confirm the feasibility and complexity of these requirements, and convert them into estimated developer tasks, validating that each requirement traces cleanly to system design and existing configuration before work begins</li><li>Provide updates and technology insights/clarifications to the relevant stakeholders</li><li>Develop and maintain data and metadata definitions, documentation and versioning.</li><li>Create technical documentation including system diagrams and implementation manuals</li><li>Implement and maintain data quality processes and development standards</li><li>Ensure compliance with IRC&#x2019;s data protection, confidentiality, and security policies</li><li>Provide Tier-2 and Tier-3 support emerging from Countries and Regional Technology support team for the measurement technology products rolled out.</li><li>During piloting and rollout, provide training and hyper-support on measurement technology products in close collaboration with the regional technology teams.</li><li>Any other duties as assigned by the supervisor. </li></ul>Key Working Relationships <ul><li>Position Reports to: Business Systems Analyst</li><li>Direct Reports: None</li><li>Management in Partnership: None </li></ul>Key Internal Relationships <ul><li>CommCare Product Manager</li><li>METAL QA Analyst</li><li>IT Data Team </li></ul>Required Skills <ul><li>Three to six years of experience working in technology domain to develop and rollout data or technology platforms for programs &#x2013; out of which, at least three years of experience developing, implementing, and supporting CommCare development for large and complex programs.</li><li>Experience in source code and version control platforms, for example, GitHub, Azure DevOps, or similar.</li><li>Strong in team development processes including pair programming, shadow sessions, code reviews and other strategies to ensure high-quality programing.</li><li>Strong code quality assurance practices including unit testing, integration testing, as well as regression testing to ensure quality of the code getting shipped into production.</li><li>Working knowledge of agile software delivery practices (user stories, backlog grooming, sprint ceremonies) and a demonstrated preference for iterative, requirements-driven development.</li><li>Ability to effectively communicate in English both in verbal (i.e., day-to-day discussions, team meetings) and written (requirements and design specifications) form, as well as an overall ability to be clear and concise in all communications. More specifically, the ability to clearly explain complex technology issues in layman&#x2019;s terms and simplify tech-related language depending on the audience/stakeholders is a huge asset.</li><li>Strong attention to detail to ensure fidelity to requirements and high-quality products.</li><li>Strong analytic curiosity and innovative problem-solving skills using a system thinking approach.</li><li>Demonstrable ability to work both independently and in a dynamic, cross-functional team structure.</li><li>Demonstrable ability to establish and maintain working relationships across all departments and levels of the organization. </li></ul>Education <ul><li>Bachelor&apos;s degree in computer science, Information Technology, or related discipline</li><li>Experience with Databricks, Dataverse connectors, APIs, and Microsoft Azure </li></ul>This is a remote position open to internal candidates based in countries where IRC operates who have the right to work in their location. Successful candidates will be hired on a local employment contract and according to local salary scale. This role is open to candidates located and with the right to work in United Kingdom and Kenya. Compensation: (UK Pay Rate: &#xA3;49,598 - &#xA3;60,040/yr). Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience and skills relative to the defined job requirements. Professional Standards: All International Rescue Committee workers must adhere to the core values and principles outlined in IRC Way - Standards for Professional Conduct. Our Standards are Integrity, Service, Equality and Accountability. In accordance with these values, the IRC operates and enforces policies on Safeguarding, Conflicts of Interest, Fiscal Integrity, and Reporting Wrongdoing and Protection from Retaliation. IRC is committed to take all necessary preventive measures and create an environment where people feel safe, and to take all necessary actions and corrective measures when harm occurs. IRC builds teams of professionals who promote critical reflection, power sharing, debate, and objectivity to deliver the best possible services to our clients. Cookies: https://careers.rescue.org/us/en/cookiesettings #IRC-EUROPE

Software Developer Analyst

Ready to do the most impactful work of your career? At&#xA0;Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn&apos;t a place for complacency, it&#x2019;s a place to be pushed past your perceived limits. If you&apos;re ready to build the future of finance alongside people who refuse to settle for &quot;good enough,&quot; you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called &#x201C;surges.&#x201D;&#xA0;learn more about working at Coinbase. As a Risk &amp; Monitoring Analyst IV on the Operational Risk and Controls (ORC) team within Global Financial Crimes Operations (GFCO), you&apos;ll own quality assurance reviews of TMS investigations that support Coinbase&apos;s AML/CFT program. You&apos;ll strengthen consistency in case execution, surface procedural gaps, and partner across Operations, Compliance, Analytics, and Learning &amp; Development to turn quality insights into measurable operational improvements.What you&apos;ll do:<ul><li>Review TMS cases against established QA rubrics, including core sampling for regulatory filings (SARs) and risk-based sampling across priority compliance areas.</li><li>Lead calibration sessions, office hours, and structured analyst support to drive consistency and deepen understanding of complex procedural requirements.</li><li>Conduct root cause analysis on thematic quality issues and translate findings into actionable recommendations for process, training, and procedural updates.</li><li>Partner with second line of defense stakeholders and deliver timely, well-supported responses to review and audit findings.</li><li>Build and present weekly metrics, dashboards, and trend analyses that highlight risks, performance themes, and improvement opportunities to senior stakeholders.</li><li>Train new joiners, validate practice cases, and provide structured feedback to accelerate analyst readiness and quality performance.</li></ul>Required Skills and Experience:<ul><li>6+ years of experience in quality assurance, quality control, audit, or financial crime investigations within a regulated financial services environment.</li><li>Working knowledge of BSA/AML laws, regulations, and requirements, with demonstrated ability to apply risk-based judgment when reviewing complex investigations.</li><li>ACAMS certification or equivalent AML qualification.</li><li>Proven experience producing compliance metrics, dashboards, and performance reporting for operational and compliance stakeholders (proficiency in Google Sheets/Excel and Google Slides/PowerPoint).</li><li>Track record of presenting QA findings, root cause analyses, and procedural recommendations to senior compliance and operations leaders across multiple regions.</li><li>Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.</li></ul> Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).Annual base salary range (excluding equity and bonus):: &#xA3;55,620 GBP - &#xA3;61,800 GBP <ul><li>Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.</li><li>Equal Opportunity Employer: Coinbase 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, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.</li><li>US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.</li><li>Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com.&#xA0;Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.</li><li>Data Privacy &amp; Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes. </li></ul>

Risk & Monitoring Analyst IV

<h3>About <a href="https://jobicy.com/company/pleo" target="_blank" rel="noopener">Pleo</a></h3>
Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’.
The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years.
Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together.
<h3>About the role</h3>

Please note: applications will be open until Friday 2nd October 2026 at 08.00 CEST. We will not review any applications before the closing window so please don't rush and take the time you need to submit a high quality application. 
Growth Intelligence owns the commercial data layer that powers Pleo's GTM engine from acquisition, retention and, propensity modelling to customer health. The team supports RevOps, Customer Experience, Customer Success, and senior commercial leadership with the data and models they need to make faster, smarter decisions.
As a Senior Full Stack Data Analyst, you sit at the intersection of commercial analytics and customer intelligence. You build end-to-end analytics solutions (retention models, growth analyses, activation funnels, and GTM dashboards) that directly influence how Pleo acquires, onboards, retains, and grows its customer base.

<h3>Who you'll work with</h3>
You will report to the Senior Manager of the Growth Intelligence team. You will partner primarily with Customer Experience, Sales, and Success teams. You will also work closely with the onboarding and self-serve product teams as well as colleagues across Growth Intelligence and the broader data community, including Data Scientists in your team and Analytics Engineers who own the modelling layer your analysis depends on.
For extra context, you'll also be leveraging technologies including SQL, dbt, BigQuery, Looker, Amplitude, HubSpot, Zuora, or Vitally.

<h3>What you'll be doing</h3>
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Build and maintain the analytics layer for customer acquisition, onboarding, growth, and retention: propensity models, growth dashboards, activation funnels, and the commercial reporting GTM teams depend on day-to-day.
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Partner with Customer Experience, Sales, and Success teams to understand their data needs and deliver dashboards and analyses that drive operational decisions.
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Conduct in-depth analysis of customer behaviour, commercial performance, and retention patterns to surface trends, risks, and growth opportunities (owning the insight and narrative, not just the output).
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Support the onboarding and self-serve product teams with data on activation, engagement, and friction, translating product behaviour into insights that improve the customer journey.
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Design and analyse experiments to test growth hypotheses and optimise key commercial metrics within Pleo's experimentation methodology, ensuring statistical rigour.
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Build analytics explicitly designed for self-serve and AI access 
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Contribute metric definitions and domain knowledge to the semantic layer, working with Data Services &amp; Governance to ensure GTM metrics are consistently defined across BI tools and AI tooling.
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Engage with data colleagues across Intelligence to share knowledge, maintain standards, and contribute to a culture of craft.
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</ul>
<h3>What you bring</h3>
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Proven experience working across both insights generation and analytics engineering in a SaaS environment (fintech is a big plus).
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Solid proficiency with Python, SQL and dbt: you write clean, tested models, understand layered architecture, can manipulate and analyse data to uncover insights.
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BigQuery experience, including complex transformations and performance considerations.
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BI tool proficiency such as Looker and LookML
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Commercial mindset: you understand GTM metrics, customer lifecycle stages, and how data connects to revenue outcomes.
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Strong data visualisation skills: you build dashboards that GTM stakeholders actually use, not just ones that look good.
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Understanding of how analytics outputs serve AI tools and self-serve analytics as first-class consumers: you design for machine access as well as human access, and know why metric consistency matters as AI tooling scales.
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Comfort with Git-based workflows and CI/CD practices for analytics code.
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Strong ownership and delivery discipline: you manage multiple projects with close attention to detail and follow through.
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Solid understanding of data contracts: schema agreements, ownership, and SLAs between data producers and downstream consumers.
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</ul>
<h3>This role is not a good fit if</h3>
<ul>
<li>
You prefer to specialise deeply in one area rather than wear multiple hats. This role requires you to move between analysis, analytics engineering, experimentation, and stakeholder management.
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You are not comfortable engaging directly with demanding commercial stakeholders and translating their needs into data solutions without a fully defined brief. You'll often need to shape the question as much as answer it.
</li>
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You need clean problem definitions before you can start. The commercial data environment here is genuinely complex. Definitions evolve, ownership is shared, and the right answer sometimes requires negotiation as much as analysis.
</li>
</ul>
<h3>Your first 6 months</h3>
By the end of your first six months, you'll have built things that GTM teams are actively relying on.
<ul>
<li>
Growth Intelligence's core analytics layer: activation funnels, customer health reporting, retention signals will be in better shape than when you arrived. You'll know which models and dashboards matter most, where the gaps are, and have fixed at least some of them in ways that reduce manual work for RevOps, CS, and CX.
</li>
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You'll have contributed real metric definitions to the semantic layer, agreed with Data Services &amp; Governance on what canonical GTM metrics actually are, and made that stick downstream. Analysts and AI tools will be getting consistent answers rather than each team maintaining their own version.
</li>
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You'll have a genuine working relationship with the commercial stakeholders you serve — RevOps, Customer Experience, Customer Success — and they'll have a clear sense of what to bring to you and what to expect back.
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And you'll have shipped at least one piece of analysis or tooling that changed a commercial decision or enabled something that wasn't possible before, not just improved the plumbing, but unlocked actual use.
</li>
</ul>
<h3>Show me the benefits</h3>
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Your own Pleo card (no more out-of-pocket spending!)
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Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office
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Comprehensive private healthcare - depending on your location, coverage options include Vitality, Alan or Médis
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25 days of annual leave + public holidays (additional days may apply in select countries based on local standards).
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For our Team, we offer both hybrid and fully remote working options
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We use MyndUp to give our employees access to free mental health and well-being support with great success so far
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Paid parental leave - we want to make sure that we're supportive of families and help you feel that you don't have to compromise your family due to work
</li>
</ul>
<h3>The interview process</h3>
We want to ensure you are set-up for success and understand what will be expected of you. If your application is successful, our interview process is as follows:
<ol>
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Intro call: A 30-minute chat with our Talent Partner to discuss the role and your background.
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An async core skills test assessing your SQL fundamentals
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Hiring Manager interview: A 60-minute experience-based interview to deep dive into your domain knowledge and technical experience.
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Pleo Challenge: A live technical case interview designed to assess your technical expertise around data modeling, manipulation and insights generation.
</li>
</ol>
Transparency is important to us so we also wanted to share some insights about what we’re looking for in applications to ensure you can set yourself up for success!
With this in mind, we want to help you understand what we really care about when reviewing your application:
<ul>
<li>
We receive a lot of CVs, and many of them are AI-generated. We love seeing people leverage AI - it’s a big focus for us internally too- but without human intervention, these CVs can sometimes become generic and fail to show a candidate in the best light. What we're really looking for is the specific details of real impact that only you - not AI - know from your previous experience. A top tip from us is to use the “Achieved X, as measured by Y, by doing Z” formula (credit: Laszlo Bock, ~2014) to give a really clear picture of what you’ve worked on. A final note: including links to your previous companies' websites is a huge help and allows us to truly understand your background.
</li>
<li>
Every single application we receive is reviewed by a human (yes, hundreds of them) because we believe that candidates' efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully, they make a huge difference in our decision-making process.
</li>
</ul>
<h3>About your application</h3>
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English first. Since it's our company language, please submit your application in English. You’ll be using it a lot if you join us.
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A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can’t pass on calls or emails.
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Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don't tick every single box. We encourage people from all backgrounds and experiences to join us.
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Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format, email belonging@pleo.io. We’ll design a process that works for you.
</li>
<li>
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</li>
<li>
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</li>
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Senior Fullstack Data Analyst (Commercial Analytics)

<div class="content-intro">🚀 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&nbsp;<a href="https://monzo.com/current-account/personal">personal</a> and <a href="https://monzo.com/business-banking">business</a> bank accounts, we offer <a href="https://monzo.com/current-account/joint-account">joint accounts</a>, <a href="https://monzo.com/current-account/16-17">accounts for 16-17 year olds</a>, a <a href="https://monzo.com/current-account/under-16s">free kids account</a> and <a href="https://monzo.com/flex">credit cards</a> in the UK, with more exciting things to come beyond. Our UK customers can also <a href="https://monzo.com/savings">save</a>, <a href="https://monzo.com/investments">invest </a>and&nbsp;<a href="https://monzo.com/pensions">combine their pensions</a> with us.&nbsp;
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 Monzo ❤️
<hr>
&nbsp;</div><h4>📍 London or Barcelona | UK remote | 💰 £124,400 - 165,000 + Incentive Awards tied to your performance + <a href="https://monzo.com/careers/">Benefits</a> | <a href="https://monzo.com/blog/technology">Technology</a> — <a href="https://monzo.com/blog/data">Data</a></h4>
We’re looking for a Staff Data Scientist excited to help build the bank of the future. This is a senior individual contributor role for someone who combines deep technical expertise with strong commercial judgement and can apply both to Monzo’s most important and complex challenges.
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 headspace to focus on more impactful business questions and analyses.
As a Staff Data Scientist, you’ll lead efforts on strategically important, business-critical problems. You’ll apply judgement in areas of organisational or technical complexity, steward initiatives end-to-end, and focus your hands-on contribution where it can create the greatest impact. You’ll be a trusted technical partner to senior leaders, raise the bar for Data Science across Monzo, and build capability in others through coaching, reusable approaches and clear standards.
<h4>Our Data Science team ⭐</h4>
We are excited to be expanding and are hiring across our Data Science teams. Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth or Core, we are looking for versatile people who can contribute across squads and collectives. 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!
<h4>🔑You’ll play a key role by...</h4>
<ul>
<li>Shape and lead the data strategy for a large domain or collective, connecting customer and commercial goals to a clear portfolio of high-impact Data Science work</li>
<li>Identify, frame and lead strategically important problems where the path is ambiguous, dependencies span teams, and decisions involve meaningful customer, commercial, regulatory or operational trade-offs</li>
<li>Partner with senior leaders across product, engineering, ML, design, research, risk and operations, bringing an independent technical perspective that influences strategy and turns it into measurable outcomes</li>
<li>Establish measurement strategies and metric maps that clarify how customer behaviour, product changes and business outcomes connect, enabling teams to test assumptions and make better decisions faster</li>
<li>Set and evolve best practices for experimentation, causal inference, forecasting, optimisation and decision science, choosing methods that are proportionate to the decision and its risks</li>
<li>Remain hands-on where your expertise is most valuable: exploring complex data, designing analyses and experiments, building models or prototypes, and resolving the hardest technical questions</li>
<li>Steward critical data products and initiatives end-to-end, ensuring they are robust, well-governed, clearly documented and adopted by the people who need them</li>
<li>Balance pace and analytical rigour, making pragmatic trade-offs while protecting the quality, reproducibility and interpretability of your work</li>
<li>Raise Data Science standards across Monzo through technical direction, proposals, reviews, reusable methods and thoughtful challenge</li>
<li>Coach and mentor data scientists and analytics engineers, using live projects and wider discipline initiatives to build sustainable capability beyond your own individual output</li>
</ul>
<h4>🤩 We’d love to hear from you if…</h4>
<ul>
<li>You have an exceptional track record of leading complex, business-critical Data Science work from ambiguous problem framing through to measurable outcomes</li>
<li>You have shaped strategy across a large product or business domain and can influence senior leaders through clear, independent judgement</li>
<li>You bring deep expertise across several Data Science disciplines and can set the technical direction for work involving significant complexity, uncertainty or risk</li>
<li>You repeatedly create clarity across organisational boundaries, resolve difficult dependencies and turn long-term strategy into decisive action</li>
<li>You communicate complex ideas, assumptions and risks with clarity, and hold a consistently high bar for analytical quality, governance and reproducibility</li>
<li>You remain a highly credible hands-on practitioner with SQL and Python, while raising standards and multiplying the impact of experienced colleagues</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
<ul>
<li>Business Fit/Collaboration</li>
<li>Case Study</li>
<li>Technical Interview</li>
</ul>
</li>
</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.
We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. <a href="https://monzo.com/blog/the-ultimate-guide-on-using-ai-to-ace-an-interview-at-monzo">You can read them here.</a>
For more insight into the hiring experience at Monzo, check out our blog post written by one of our Recruiters - <a href="https://monzo.com/blog/2022/03/21/data-hiring-at-monzo">Data Hiring at Monzo</a>.
<h4>What’s in it for you:</h4>
💰 £124,400 - £165,000 + 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 <a href="https://monzo.com/careers/">benefits</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
&nbsp;<div class="content-conclusion"><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">blog</a>, 2026 <a href="https://monzo.com/blog/our-2026-diversity-and-inclusion-report" target="_blank">Diversity and Inclusion Report</a> and 2025 <a href="https://monzo.com/blog/gender-pay-gap-report-2025">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 😊</div>

Staff Data Scientist

&#x1F680; We&#x2019;re on a mission to make money work for everyone. We&#x2019;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 personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions 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&#x2019;re not about selling products - we want to solve problems and change lives through Monzo &#x2764;&#xFE0F; &#x1F4CD;London/Cardiff/UK Remote | &#x1F4B0;&#xA3;113,200 - &#xA3;145,200 + Incentive Awards tied to your performance + Benefits &#x2728; Our Operations Machine Learning team &#x2B50; We&#x2019;re building the machine learning and optimisation systems that help Monzo provide fast, efficient and resilient customer support at scale. You&#x2019;ll lead Machine Learning for our Workforce Management vertical: the organisation that makes sure Monzo has the right human support supply to meet customer demand. The team works on demand forecasting, real-time supply demand matching, problem routing and escalation, and predictive models that help us understand how long work will take, what might become late, and where the next best human support should be assigned. This is a great role for someone who is still close to technical work. You might be a Tech Lead, Team Lead, Senior Machine Learning Scientist or Senior Machine Learning Engineer who has recently been building models and systems yourself, and is excited to grow into a broader leadership role. Not everything here is about LLMs. You&#x2019;ll work on rigorous ML, forecasting, optimisation and operations research problems where quantitative thinking, pragmatic delivery and strong product judgement really matter. You&#x2019;ll lead a growing team of Machine Learning Scientists, embedded in product squads working alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers and operations specialists. &#x1F511;You&#x2019;ll play a key role by&#x2026; <ul><li>Shaping the ML strategy for Workforce Management, helping us decide where ML, forecasting and optimisation can have the biggest impact for customers and human agents.</li><li>Leading the design, build and delivery of production ML systems across forecasting, routing, assignment, escalation and time-to-completion prediction.</li><li>Staying close to the technical details: helping the team frame problems well, choose the right modelling approach, define robust validation, review trade-offs and ship safely.</li><li>Working with Product, Engineering, Data and Operations leaders to turn ambiguous operational problems into pragmatic, iterative ML systems that improve real customer outcomes.</li><li>Coaching and developing Machine Learning Scientists through regular 1:1s, feedback and technical guidance.</li><li>Creating healthy ways of working for the team: clear priorities, strong technical standards, good documentation, sensible monitoring, and space for people to do their best work.</li><li>Contributing to the wider Machine Learning discipline at Monzo, helping us scale how we build, ship and operate ML systems in production. </li></ul>&#x1F929; We&#x2019;d love to hear from you if&#x2026; <ul><li>You&#x2019;ve recently worked as a hands-on Machine Learning practitioner, for example as a Senior IC, Tech Lead, Team Lead or ML manager.</li><li>You have strong foundations in ML, statistics, forecasting, optimisation or operations research, and enjoy applying them to messy real-world problems.</li><li>You&#x2019;ve built, shipped or owned ML systems in production, and understand what it takes to make models useful, reliable, monitored and safe.</li><li>You can move between technical detail and business context, explaining complex ML ideas clearly to technical and non-technical people.</li><li>Coaching others is something you enjoy and take seriously. You may already have people management experience, but we&#x2019;re also open to people taking their first formal step into management.</li><li>Ambiguous problem spaces energise you. The right answer might involve a model, an algorithm, a product change, an operational process, or a combination of all four.</li><li>Customer outcomes matter to you, and you want to build systems that help people get answers to their problems quickly and efficiently.</li><li>You&#x2019;re adaptable, curious and excited by quantitative problems. </li></ul>Not ticking every box? That&#x2019;s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we&#x2019;re dedicated to creating a diverse and welcoming team. If you&#x2019;re passionate about this role and keen to learn and grow with us, we encourage you to apply&#x2014; even if you don&#x2019;t have everything that&apos;s listed just yet. Drop us your application, we&#x2019;d love to hear from you! &#x1F64C; What&#x2019;s In It For You &#x1F4B0; &#xA3;113,200 - &#xA3;145,200 &#x2795; Incentive Awards tied to your performance. &#x2708;&#xFE0F; We&#x2019;ll help you relocate to the UK. &#x2705; We can sponsor your visa. &#x1F4CD;This role can be based in our London office, but we&apos;re open to distributed working within the UK (with ad hoc meetings in London) &#x23F0; We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. &#x1F4DA; &#xA3;1,000 learning budget each year to use on books, training courses and conferences. &#x1F3E1; We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. &#x2795; Plus lots more! Read our full list of benefits. &#x1F308; The application journey has 3 key steps <ul><li>Recruiter Call</li><li>Initial Call</li><li>Full Loop: ML Modelling Skills Interview, Product &amp; ML interview, Project Deep Dive Interview, Leadership interview </li></ul>This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. Equal opportunities for everyone Diversity and inclusion are a priority for us and we&#x2019;re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we&#x2019;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 blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We&#x2019;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&apos;t need full or birth names at application stage &#x1F60A;

Machine Learning, Tech Lead

Competitive Salary + Excellent BenefitsFully remote &#x2013; work from home with the option to come into the office whenever it suits you. &#x1F31F; Join Cov&#xE9;a Insurance &#x2014; An Award-Winning Place to Work &#x2B50; At Cov&#xE9;a Insurance, we&apos;re here to protect what matters most &#x2014; from homes and vehicles to businesses and livelihoods. What truly sets us apart is our people and culture. We&apos;re proud to have been recognised as the Best Place to Work at the Modern Claims Awards 2026 &#x2014; a reflection of our commitment to creating a supportive, inclusive and empowering environment where everyone can thrive. We have an exciting opportunity to join us at Cov&#xE9;a Insurance, where you&apos;ll be part of an inclusive and supportive organisation that puts people first, both our customers and our colleagues. At Cov&#xE9;a, we know there&apos;s no one-size-fits-all way of working. We actively support flexible hours, part-time options and different working patterns, and we encourage open conversations about what works best for you and your life. &#x1F3E2;The TeamOur Market Pricing team plays a key role in supporting Cov&#xE9;a&apos;s strategic objectives through pricing insight, predictive modelling and analysis. Working closely with senior stakeholders across the business, the team helps shape pricing strategies that support profitable growth and positive customer outcomes. As a Pricing Manager, you&apos;ll play a key leadership role within the team, leading analysts and senior analysts while working closely with the Head of Market Pricing and senior stakeholders. You&apos;ll help drive innovation, influence pricing strategy and support the continued evolution of our pricing capabilities through data, modelling and insight. &#x2753;What You Can Expect In This Role<ul><li>You&apos;ll play a key role in delivering pricing recommendations, insight and analysis that support Cov&#xE9;a&apos;s strategic objectives.</li><li>You&apos;ll work closely with senior stakeholders across the business, helping to shape pricing decisions and deliver positive business outcomes.</li><li>You&apos;ll contribute to a team that&apos;s focused on innovation, collaboration and continuously improving the way we work.</li><li>You&apos;ll lead and develop analysts and senior analysts, creating an environment where people can thrive and perform at their best.</li><li>You&apos;ll have opportunities to influence pricing strategy, drive best practice and support the future development of our pricing capabilities.</li></ul> &#x1FAF5; What You Might Bring <ul><li>Significant experience within a General Insurance Pricing environment.</li><li>Experience leading, coaching and developing technical teams, while driving high performance and collaboration.</li><li>Excellent analytical capability, including experience of predictive modelling and data-driven decision making.</li><li>Passion for stakeholder management and communication, with the ability to influence and build effective relationships at all levels.</li><li>A passion for innovation, continuous improvement and developing pricing capabilities that deliver measurable business value.</li></ul> &#x1F4A1; Not sure you tick every box? That&apos;s okay. We recognise that great candidates bring different experiences and perspectives. If this role interests you and you believe you could add value, we encourage you to apply - even if you don&apos;t meet every requirement. &#x1F499; Our ValuesOur Values Are At The Heart Of Everything We Do &#x2014; And Are One Of The Reasons We&apos;re Recognised As An Award-winning Place To Work <ul><li>Standing Shoulder to Shoulder &#x2013; We care, listen and support</li><li>Make it Happen &#x2013; We act with integrity</li><li>Understand you &#x2013; Collaboration drives success</li><li>Change the Game &#x2013; We invest in growth</li></ul> We&apos;re committed to building a diverse and inclusive environment where everyone feels valued and supported. &#x2696;&#xFE0F; Flexibility That Works for You <ul><li>Fully remote working</li><li>Flexible hours and working patterns</li><li>A genuine approach to work-life balance</li></ul> &#x2B50; Why join Cov&#xE9;a? Because we believe great work happens when people are trusted, supported and able to work in ways that suit their lives. <ul><li>Flexibility that truly works for you &#x2013; 36.25 hours per week, flexitime, and hybrid options as standard. Whether you&apos;re balancing family life, caring responsibilities, study, or simply work best at different times, we&apos;re open to finding a pattern that works.</li><li>Reward that reflects your contribution &#x2013; annual pay review plus performance related bonus.</li><li>Time to switch off and recharge &#x2013; 25&#x2013;27 days&apos; holiday plus bank holidays, with the option to buy or sell annual leave.</li><li>Investing in your future &#x2013; a generous pension with 7.5% employer contribution as standard, which can be matched up to 12% with your input.</li><li>Grow with us &#x2013; access to training, professional qualifications and apprenticeships to support your development at every stage of your career.</li><li>A culture where you belong &#x2013; employee led communities, inclusive networks and meaningful DEI action, not just words.</li><li>Your wellbeing matters &#x2013; private medical cover, 24/7 Virtual GP, health checks and ongoing wellbeing initiatives.</li><li>Support beyond work &#x2013; mental and financial wellbeing support through our dedicated Wellbeing group.</li><li>Everyday perks that add up &#x2013; electric car scheme, gym discounts, Cycle to Work and retail savings via Perkpal.</li></ul>&#x2026;and plenty more to support you inside and outside of work. Ready to apply? If this sounds like the right next step for you, we&apos;d love to hear from you. As a Disability Confident Employer, we&apos;re committed to fair and accessible recruitment. If you need adjustments or support at any stage, please contact our Recruitment Team at recruitment@coveainsurance.co.uk. Applicants must currently reside in the UK and have the unrestricted right to work in the UK. Unfortunately, we&apos;re unable to offer visa sponsorship for this role.

Pricing Manager

Data Analyst (Fully Remote UK) &#xA3;40,000&#x2013;&#xA3;45,000 &#x26A1; Fast-Track Your Application: Click &quot;Apply on Company Website&quot; to submit your CV. Our system auto-parses your resume so you can complete your application in 20&#x2013;25 seconds and instantly unlock access to similar active UK graduate jobs! OverviewCV-BRIDGE LTD is looking for a detail-oriented and analytical Data Analyst to join our remote UK-based team.This role is ideal for someone who enjoys working with data, identifying trends and turning information into clear, useful insights. It is well suited to an entry-level candidate with strong analytical thinking, attention to detail and an interest in data-driven decision-making.Job Snapshot&#x1F4CD; Location: London, UK&#x1F3E0; Workplace: Remote&#x1F4BC; Job Type: Permanent&#x23F0; Employment: Full-Time&#x1F3AF; Experience: Entry Level&#x1F4B7; Salary: &#xA3;40,000&#x2013;&#xA3;45,000 per annumKey Responsibilities&#x2022; Collect, organize and analyse business data&#x2022; Clean and validate datasets to maintain accuracy&#x2022; Identify trends, patterns and meaningful insights&#x2022; Prepare reports, dashboards and data summaries&#x2022; Support teams with data-driven analysis and reporting&#x2022; Maintain accurate records and structured datasets&#x2022; Help monitor key metrics and performance indicators&#x2022; Present findings in a clear and understandable format&#x2022; Support continuous improvement across reporting and analytical processesRequirements&#x2022; Strong analytical and problem-solving skills&#x2022; Good attention to detail and data accuracy&#x2022; Comfortable working with Excel and spreadsheets&#x2022; Understanding of SQL, Power BI or similar analytical tools is beneficial&#x2022; Ability to organize and interpret large amounts of information&#x2022; Good written and verbal communication skills&#x2022; Able to explain analytical findings clearly&#x2022; Ability to manage priorities and work independently in a remote environment&#x2022; Academic projects, internships or previous data/reporting experience are beneficialWhat We Offer&#x2022; &#xA3;40,000&#x2013;&#xA3;45,000 annual salary&#x2022; Remote UK working arrangement&#x2022; Permanent, full-time position&#x2022; Opportunity to build practical data analysis and reporting experience&#x2022; Exposure to modern analytical tools, dashboards and reporting workflows&#x2022; Opportunity to strengthen data, business intelligence and problem-solving skills&#x2022; Career development within a growing UK-focused businessHow to ApplyApply in around 20&#x2013;25 seconds &#x2014; confirm your details, upload your CV and submit your application.

Data Analyst (Fully Remote UK) £40,000–£45,000

Data Scientist Remote (UK) | Leicestershire 1-2 Days Per Month | Permanent We&apos;re partnering with an innovative AI-driven technology business that is transforming how organisations use data to make better decisions. Following continued growth, they&apos;re looking to hire a Data Scientist to help develop predictive models, uncover meaningful insights from complex datasets, and contribute to the next generation of AI-powered products. This is an excellent opportunity for a junior to mid-level Data Scientist who wants to work on real-world machine learning challenges, gain exposure to large-scale datasets, and play a visible role within a fast-growing technology company. The environment offers significant ownership, collaboration with experienced technical leaders, and the opportunity to see your work directly influence product development and customer outcomes. What You&apos;ll Be Doing<ul><li>Developing and improving machine learning and predictive analytics solutions</li><li>Preparing, cleaning and transforming datasets from multiple sources</li><li>Building and evaluating classification, regression and forecasting models</li><li>Working closely with engineering, product and business stakeholders to solve complex challenges using data</li><li>Communicating insights and recommendations to both technical and non-technical audiences</li><li>Contributing to the development of AI-driven products and analytics capabilities</li><li>Supporting the creation of scalable data science workflows and best practices</li></ul> What We&apos;re Looking For<ul><li>Commercial, academic or research experience working with data science, analytics or machine learning</li><li>Strong Python skills, including experience with libraries such as Pandas, NumPy and Scikit-Learn</li><li>Understanding of machine learning concepts including classification, regression and model evaluation</li><li>Experience preparing and analysing large datasets</li><li>SQL skills and confidence querying data</li><li>Strong problem-solving ability and analytical thinking</li><li>Ability to communicate technical concepts clearly to a range of stakeholders</li><li>A collaborative mindset with a genuine desire to learn and develop</li></ul> Nice to Have<ul><li>Experience with cloud data platforms such as BigQuery, Snowflake or Databricks</li><li>Exposure to XGBoost or similar machine learning frameworks</li><li>Experience building dashboards or data visualisations</li><li>Knowledge of responsible AI, model fairness or AI governance</li><li>Experience working with public sector, education or social impact datasets</li><li>Exposure to time-series modelling or forecasting techniques </li></ul> Why Apply?<ul><li>Work on meaningful machine learning problems with real-world impact</li><li>Join a growing technology business where your work will be highly visible</li><li>Collaborate with experienced engineers, product leaders and data professionals</li><li>Gain exposure to modern AI, predictive analytics and large-scale data environments</li><li>Remote-first culture with flexible working</li><li>Genuine opportunity to shape products and grow your career as the organisation scales </li></ul> If you&apos;re an aspiring or early-career Data Scientist looking for a role that offers both technical challenge and career growth, we&apos;d love to hear from you.

Data Scientist

Who We Are We&#x2019;re a global, midsize CRO that pushes boundaries, innovates and invents because the path to a cure for the world&#x2019;s most persistent diseases is not paved by those who play it safe. It is built by those who take pioneering, creative approaches and implement them with quality and excellence. We are Worldwide Clinical Trials, and we are a global team of over 3,500+ experts, bright thinkers, dreamers and doers and, together, we are changing the way the world experiences CROs &#x2013; in the best possible way. Our mission is to work with passion and purpose every day to improve lives and we are looking for others who value this same pursuit. Why Worldwide We believe everyone plays an important role in making a world of difference for patients and their caregivers. From our hands-on, accessible leaders, to our cohesive and supportive teams, we are committed to enabling professionals from all backgrounds and experiences to succeed. We prioritize cultivating a diverse and inclusive environment that continues to promote collaboration and creativity. We are proud to be a workplace where people thrive by being themselves and are inspired to do their best work every day. Join us! What the Biostatistics Department does at Worldwide As an individual on our Biostats and Statistical Programming team, your programming, analytical skills, and ability to process and interpret data are the keys to success. At Worldwide, you&#x2019;ll be able to grow your knowledge of SAS and CDISC standards across all phases of clinical trials. You&#x2019;ll work directly with multiple sponsors, data managers, statisticians, statistical programmers, and the wider study team across a variety of therapeutic areas including cardiovascular, metabolic, neuroscience, oncology &amp; rare diseases. When you work here, you have the autonomy to do your work through hands-on involvement, the support you need to succeed and grow, and the realization that, here, your work really does matter. What You Will Do <ul><li>Provide review of study designs, analysis plans, and reports.Contribute to the design of clinical trials, including statistical sections of the study protocol, randomization methodology and writing Statistical Analysis Plans. Able to understand and advise on core components of study design and analysis. </li><li>Provide support to the statistics reporting process through the specification/review of tables, figures, and listing shells, writing/review of derived dataset specifications, and the formatting of report documents and tabulations. </li><li>Undertake and/or contribute to the preparation of final reports, including production of tables, figures, and listings and report writing. </li><li>Develop, test, and run SAS programs for the statistical analysis of clinical study data. This includes programs for derived datasets, SDTM/ADaM datasets, tables, figures, and listings, and/or associated validation. </li><li>Contribute to the identification of system and process improvements, and to the development and implementation of solutions to improve the efficiency and quality of clinical study data processing and reporting. </li><li>Manage the statistics support to one or more projects/sponsor programs of work, ensuring that needs are fully met by expert and timely statistical consultancy and support </li><li>Perform all activities in compliance with WCT and agreed sponsor quality system standards, relevant ICH standards and specifically with FDA Quality System Regulation (including 21CFR Part 11). </li><li>Liaise with internal departments, sponsors, and other third parties regarding statistical issues and reporting requirements </li><li>Apply department knowledge of the latest developments in statistical methods, regulations (in particular ICH, FDA, CPMP points to consider efficacy, safety and quality standards) and software applications </li><li>Review budgets and flag any out of scope or unbudgeted items, identify any tasks not in alignment with current scope of work. </li></ul>What You Will Bring To The Role <ul><li>Must be computer literate and numerate with a proven ability to adapt to various computer systems; thorough knowledge of SAS; knowledge of other software applications a plus </li><li>Consultancy and facilitation skills are required together with key competencies in customer focus, delivering on commitments, building strong relationships, communicating, and influencing, embracing innovation and change. </li></ul>Your Experience <ul><li>Appropriate degree and minimum relevant experience: (BSc/8 years, MSc/6 years, PhD/4 years) </li><li>Hands-on expert level project statistician experienced in providing statistical leadership to projects. </li><li>Experienced in a broad range of statistical applications across all phases of clinical research with a thorough knowledge of regulatory standards and exposure to regulatory interactions. </li><li>Good oral and written communication, organizational skills and personal presentation. The ability to communicate effectively in English </li><li>Ability to prioritize and handle multiple projects simultaneously, a flexible approach, the ability to use sound independent judgement and take initiative to assess information. </li><li>Experience across multiple therapeutic areas </li></ul>We love knowing that someone is going to have a better life because of the work we do. To view our other roles, check out our careers page at Discover a world of difference at Worldwide! For more information on Worldwide, visit www.Worldwide.com or connect with us on LinkedIn. Worldwide is an equal opportunity employer that is committed to enabling professionals from all backgrounds and experiences to succeed and, to that end, we prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and creativity. We know that when our employees feel appreciated and included, they can be more creative, innovative, and successful. We&#x2019;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We provide equal employment opportunities to all employees and applicants regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, military status, or other class protected by applicable law.

Principal Statistician - UK/Europe (Remote)

Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot&#x2019;s guiding principle is that when people love what they do, what they do will be loved by others. We&#x2019;re building a company we&#x2019;re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we&#x2019;re just getting started. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot&#x2019;s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It&#x2019;s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You&apos;ll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change. Fraud patterns keep changing, so you&apos;ll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market. This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you&apos;ll work with are based. Key Responsibilities <ul><li>Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns.</li><li>Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time.</li><li>Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries.</li><li>Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process.</li><li>Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help. </li></ul>Required Skills, Knowledge And Expertise <ul><li>Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team.</li><li>Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve.</li><li>The ability to work with product and other teams to turn analysis into operational fraud controls. </li></ul>Working at Tripledot <ul><li>25 days paid holiday in addition to bank holidays to relax and refresh throughout the year</li><li>Hybrid Working</li><li>20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year.</li><li>Daily Free Lunch: when in the office you get &#xA3;12 every day to order from JustEat. </li><li>Regular company events and rewards: quarterly on-site and off-site events that celebrate cultural events, our achievements and our team spirit. </li><li>Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.</li><li>Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy]</li><li>Life Assurance &amp; Group Income Cover: Financial protection for you and your loved ones.</li><li>Continuous Professional Development: Propel your career with continuous opportunities for professional development.</li><li>Private Medical Cover &amp; Health Cash Plan: Opt-in (P11d benefit) comprehensive private medical cover with Bupa and cash plan with Medicash.</li><li>Dental Cover: Opt-in (P11d benefit). </li><li>Cycle to Work Scheme: Salary sacrifice bike purchase scheme.</li><li>Pension Plan: Qualifying earnings or opt-in 4% contributory match schemes offered.</li></ul>

Fraud Analyst

<ul><li>Lead and execute clinical and operation advanced analytics or system improvements</li><li>Develop novel data science methodologies to generate deep insights from disparate data sources.</li><li>Provide subject matter expertise to teams in identification and application of the right data science methodology for a business problem.</li><li>Formulate the right business problem in collaboration with business and create necessary analysis plans.</li><li>Develop machine learning methodologies both supervised and unsupervised as appropriate to the business problem.</li><li>Develop scalable and robust code in relevant language such as R or Python in support of data science projects.</li><li>Perform exploratory data analysis, system design analysis, integration design analysis, database design analysis to generate insights and help answer business questions.</li><li>Ensure the life cycle management of the models is maintained through code repositories and version control tools.</li><li>Perform data engineering, data preprocessing and data wrangling activities utilizing different approaches such as SAS, SQL, NOSQL, graph models. Perform thorough validation of the machine learning output to ensure a high-quality work product.</li></ul>Education and Experience Requirements: <ul><li>Individual should have a minimum of 5 years&#x2019; experience with relevant master&#x2019;s degree in data science, statistics, Informatics, operations research, computer science, engineering or information systems or a related discipline</li><li>Data science and visualization i.e., Building data ecosystem and pipelines, Data Processing, Data Wrangling and Analytics (Reports, BI dashboards, ML models) and with SQL and Python or R programming knowledge.</li><li>Proven ability to translate and influence business requirements against existing analytics and data integration capabilities whilst identifying capabilities challenges and necessary solutions to ensure realistic goal setting for future analytics modelling.</li><li>A proven record in shaping and delivering key programs that optimized performance and delivered project support in matrix environments is required.</li><li>Experience in advanced analytics processes including gaining insight from structured and unstructured data, predictive modelling and optimization and associated systems/database infrastructure</li><li>Strong working knowledge of traditional statistical methodologies.</li><li>Strong working knowledge of machine learning methodologies, both supervised and unsupervised learning methods.</li><li>High proficiency in either Python or R</li><li>Familiarity of best practices in machine learning model development, validation and deployment.</li><li>Solid understanding of life cycle management of the code and code repositories.</li><li>Extensive experience with data wrangling, data preprocessing and data engineering techniques on large datasets.</li><li>Technical expertise, preferably in pharmaceutical clinical or a regulated industry operation, with extensive experience gained through working with diverse and complex data integration, warehousing and ingestion</li></ul>This role is not eligible for UK visa sponsorshipIQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.comIQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

ICOA Advanced Insights - Remote

At Bending Spoons, we&#x2019;re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards. In pursuit of this objective, we acquire and improve digital businesses, not to sell on, but to own and operate for the long term. The transformations we make are often deep&#x2014;designed to speed up innovation, benefit customers, and strengthen business performance. Here, hierarchy is minimal and teams are small and talent-dense. We operate established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other. For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That&#x2019;s our promise to such a candidate. A few examples of your responsibilities<ul><li>Design and improve data pipelines. Contribute to the design and evolution of data systems&#x2014;ensuring data is accurate, reliable, and efficiently processed across diverse tech stacks.</li><li>Ensure data correctness and scalability. Work closely with software engineers to validate data, define metrics, and improve the robustness of reporting and analytics systems.</li><li>Develop internal data products and tooling. Help build scalable solutions (e.g., reporting engines, forecasting tools) used by product teams across the company.</li><li>Support platform-wide decision-making. Partner with multiple teams to provide the analytical and modeling backbone for business planning and performance tracking.</li><li>Leverage AI to accelerate work and uncover insights. Use AI tools to move faster, surface ideas and opportunities, and study competing products and trends. </li></ul>What we look for<ul><li>Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.</li><li>Drive. You&#x2019;re extremely ambitious in everything you do&#x2014;and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high&#x2014;and rising&#x2014;bar.</li><li>Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You&apos;re always happy to get your hands dirty to help your team. You&#x2019;re reliable, honest, and transparent.</li><li>Proficiency in English. You read, write, and speak proficiently in English. </li></ul>What we offer<ul><li>Incredibly talented, entrepreneurial teams. You&#x2019;ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.</li><li>An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential&#x2014;then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you&#x2019;ve got what it takes, you&#x2019;ll soon be playing an essential role in major projects, too.</li><li>All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.</li><li>Competitive pay and access to company equity at a discount. Typical annual salary offers range from &#xA3;85,797 to &#xA3;151,436 in London and from &#x20AC;66,065 to &#x20AC;107,837 elsewhere in Europe. The lower end of these ranges applies to candidates with little or no relevant experience, while exceptionally experienced candidates may receive offers of up to &#xA3;316,052 in London or &#x20AC;240,330 elsewhere in Europe. Candidates offered a permanent contract may choose to receive part of their compensation in discounted company equity. </li></ul>Commitment &amp; contract Permanent or fixed-term. Full-time or part-time. Location Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland), or fully remote from eligible countries. The selection process In our screening process, we prioritize verifiable signals of excellence, regardless of seniority. There are no preferential paths beyond what your application demonstrates, and we evaluate every candidate through the same process. Some people hold back because they feel they lack experience or have an &#x201C;imperfect&#x201D; CV. If you like the role and believe you could excel over time, don&#x2019;t self-reject. All applications go through our careers page, which is the only way to be considered. If you pass our screening, you&#x2019;ll be asked to complete one or more tests. They are challenging, may involve unfamiliar problems, and can take several hours. To learn more about what to expect throughout the selection process, you can find additional information here. We set the bar high and won&#x2019;t extend an offer until we&#x2019;re confident we&#x2019;ve found the right candidate. This is why a job may remain open for months or be reposted several times. We consider all applicants for employment and provide reasonable accommodations for individuals with disabilities&#x2014;please let us know through this form. Before you apply If you&#x2019;ve applied before but didn&apos;t receive an offer, we recommend waiting at least one year before applying again. Bending Spoons is a demanding environment. We&#x2019;re extremely ambitious and we hold ourselves&#x2014;and one another&#x2014;to a high standard. While this tends to lead to extraordinary learning, achievement, and career growth, it also requires significant commitment. To help you ramp up quickly and set yourself up for success, we expect you to spend most days in our Milan office during your first few months with us, regardless of your long-term work location. It&#x2019;s the best way to rapidly absorb our company culture and build trust with your new teammates. We&#x2019;ll support you with generous travel and accommodation assistance. After that, you&#x2019;re welcome to work from one of our offices, or remotely from approved countries&#x2014;depending on what we agree at the offer stage. If the role speaks to you and you&#x2019;re excited to give your best, we&#x2019;d love to hear from you. Apply now&#x2014;we can&#x2019;t wait to meet you.

Data scientist

Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. As a Data Analyst, New Grad, you will work with a distributed team to transform product, job market, and user data into insights that improve the job search journey. Why Join Us &#x2022; Build real, production AI agents used by real users&#x2022; High ownership and impact&#x2022; Work at the intersection of AI, agents, and product&#x2022; Shape how people experience AI-driven job search Responsibilities &#x2022; Analyze product, user, and job market data to identify trends and opportunities&#x2022; Use SQL and analytical tools to create reports and dashboards&#x2022; Define and track key product and business metrics&#x2022; Support experiments and evaluate feature performance&#x2022; Identify data quality issues and help improve analytical workflows&#x2022; Communicate findings clearly to technical and non-technical stakeholdersQualification Required &#x2022; Recent graduate or graduating soon in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field&#x2022; Strong SQL skills and familiarity with spreadsheets or Python&#x2022; Understanding of basic statistics, data analysis, and experimentation&#x2022; Strong attention to detail and written communication skills&#x2022; Ability to work remotely within the United Kingdom Preferred &#x2022; Experience with pandas, scikit-learn, Tableau, Looker, or similar tools&#x2022; Familiarity with product analytics, recommendation systems, or search&#x2022; Experience working with large or messy datasets&#x2022; Previous internship, research, or analytics project experience

Data Analyst, New Grad

To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu.
To learn more about our Hiring Range System, please click this <a href="https://docs.google.com/document/d/1ylUe7Ou0EbsOtGRBtUv1sSld3lbZ4mrYzo59tEkSjY8/edit?usp=sharing" rel="nofollow ugc noopener" target="_blank">link.</a>
Why Mozilla?
Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. 
The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. 
About this team and role:
In the past few years, Marketing has emerged as a key vector and focus of Firefox’s growth, with Data Science playing an essential role in evaluating Marketing’s impact and developing clear strategies to ensure that success. Marketing Data Science supports Firefox through the standard fare of marketing (ongoing measurement, experimentation/lift testing, adhoc analysis, forecasting/budget optimization), and beyond that as thought leaders at Firefox in translating broad goals into clearly defined objectives and identifying the path towards succeeding in them. 
In this role, you will continue to build on the Marketing team’s recent successes as Firefox’s Marketing program continues to expand its footprint throughout the funnel. You’ll look to support this success in owning global data strategy for Firefox Marketing, developing new data capabilities to unlock future business growth, collaborating with Data Science counterparts in other domains domains, and working closely across marketing and adjacent cross-functional teams to translate your team’s work into practical recommendations and enablement that drive Firefox’s growth. 
What you’ll do:
<ul>
<li>Set the strategy and roadmap for Marketing Data Science, prioritizing the highest-impact opportunities with key partners.</li>
<li>Establish goals and measurement approaches for attribution, ROI, and campaign performance; deliver insights that improve marketing investment and outcomes.</li>
<li>Lead and develop the team’s core capabilities across:</li>
<ul>
<li>Performance marketing: budget optimization, causal lift measurement, and conversion-signal testing</li>
<li>Brand marketing: measurement planning and assessment of long-term and lower-funnel impact</li>
<li>User insights: retention/LTV modeling and audience segmentation</li>
<li>Reporting and infrastructure: build self-service dashboards, deliver ad hoc and executive reporting, and develop scalable data models and internal tools that expand our understanding of the acquisition landscape.</li>
</ul>
<li>Bring a forward-looking perspective on advertising, media innovation, and marketing analytics methods.</li>
<li>Partner with Data Science leaders to evaluate and responsibly adopt emerging AI tools that improve team workflows and impact.</li>
</ul>
What you’ll bring:
<ul>
<li>6+ years of marketing data science experience, ideally at a media agency or in-house marketing organization.</li>
<li>Proficiency with marketing analytics tools, including Google Analytics and advertising platforms, and familiarity with modeling methods such as MMM, causal lift/synthetic control, saturation modeling, optimization, and Bayesian approaches.</li>
<li>Proven experience leading, mentoring, and developing talent, with strong stakeholder management and the ability to prioritize multiple complex workstreams.</li>
<li>Strong storytelling and communication skills, with the ability to tailor data-driven insights and recommendations to different audiences. </li>
</ul>
What you’ll get:
<ul>
<li>Generous performance-based bonus plans to all eligible employees - we share in our success as one team</li>
<li>Rich medical, dental, and vision coverage</li>
<li>Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)</li>
<li>Quarterly all-company wellness days where everyone takes a pause together</li>
<li>Country specific holidays plus a day off for your birthday</li>
<li>One-time home office stipend</li>
<li>Annual professional development budget</li>
<li>Quarterly well-being stipend</li>
<li>Considerable paid parental leave</li>
<li>Employee referral bonus program</li>
<li>Other benefits (life/AD&amp;D, disability, EAP, etc. - varies by country)</li>
</ul>
About Mozilla 
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at <a href="mailto:hiringaccommodation@mozilla.com" rel="nofollow ugc noopener" target="_blank">hiringaccommodation@mozilla.com</a> to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: D
#LI-DNI
Req ID: R3211

Marketing Data Science Manager

<div>
<div>he Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them.</div>
<div> Within Personalization, the Speak Team owns the development of Spotify's state-of-the-art speech models, contributing to speech recognition, speech synthesis, and speech-to-speech models. We craft voice models that match human-level emotional expressiveness, so we can deeply engage our listeners and support creators at scale. Our groundbreaking work on speech synthesis relies on state-of-the-art deep learning methods and evaluation techniques, highly efficient data processing and model serving, and capturing audio of outstanding quality from our voice talent pool.</div>
<div> We're looking for a senior applied research scientist with experience in developing novel ML techniques and architectures and with a strong interest in working across a full production pipeline to produce state-of-the-art generative conversational speech-to-speech models. You'll collaborate with our engineering teams to help develop our production pipelines, explore new ideas and methods to improve quality, understanding and realism, as well as push the frontiers of what is possible with our speech technology.</div>
</div><h3>What You&#x27;ll Do</h3><div>
<div>

<li>Develop and experiment with new methods for speech synthesis and speech recognition, along with end-to-end approaches, building on the latest research and ideas.</li>
<li>Work towards the expansion of our speech use-cases targeting different markets and products.</li>
<li>Be part of a highly motivated research team dedicated to building and creating models at scale to power the Spotify platform.</li>
<li>Champion best practices for research and development, sharing your knowledge and experience with other researchers within Speak.</li>
<li>Collaborate with our engineering and data teams on ideas requiring new infrastructure or new high-quality data, as well as to help improve our speech recognition and speech synthesis pipelines, and help turn proven ideas into scalable products.</li>

</div>
</div><h3>Who You Are</h3><div>
<div>

<li>You have a strong background in ML (PhD degree on top of professional experience), and</li>
<li>experience in working with any of the following: transformers, GANs, diffusion models, flow matching, VAEs, audio codecs.</li>
<li>You have experience in developing generative models for speech synthesis, speech recognition, audio/music, natural language processing, or computer vision.</li>
<li>You have strong experience with Python, particularly PyTorch.</li>
<li>You have strong communication skills and the ability to explain technical ideas with clarity to technical and non-technical people alike.</li>
<li>You have experience in an academic or professional setting conducting high-quality research.</li>

</div>
</div><h3>Where You&#x27;ll Be</h3><div>
<div>

<li>This role is based in London or Stockholm.</li>
<li>We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home</li>

</div>
</div><div>Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.</div>
<div>&nbsp;</div>
<div>At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.</div>
<div>&nbsp;</div>

Senior Applied Research Scientist - Personalization

<div class="content-intro">
🚀 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 personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions 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://himalayas.app/companies/monzo">Monzo</a> ❤️
📍London/Cardiff/UK Remote | 💰 £76,500-£95,000 ➕ Incentive Awards tied to your performance and Benefits | Hear from the team ✨
<img alt=":star:"> Analytics Engineering at <a href="https://himalayas.app/companies/monzo">Monzo</a> We have around 60 Analytics Engineers out of roughly 300 data practitioners in total - and we have big ambitions for the discipline. Analytics Engineering is at the core of how we build our data to enable <a href="https://himalayas.app/companies/monzo">Monzo</a> to make better and faster decisions by having a performant, scalable and high quality data warehouse. As an Analytics Engineer here you'll be working collaboratively with other disciplines like product, engineering and data science, and we run regular knowledge-sharing sessions so you’ll learn loads about everything from our data modelling principles to how banks work and effective communication.
<h3>What you’ll be working on: </h3>
The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for <a href="https://himalayas.app/companies/monzo">Monzo</a>. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation processes and best in class analytics and Data Science. 
You’ll enable our data driven approach, and:
<ul><li>Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases.</li></ul>
<ul><li>Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost.</li></ul>
<ul><li>Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards.</li></ul>
<ul><li>Set standards and ways of working with data across <a href="https://himalayas.app/companies/monzo">Monzo</a>, working collaboratively with others to make it happen.</li></ul>
<ul><li>Take established best practices and standards defined by the team, applying them within other areas of the business.</li></ul>
<ul><li>Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse.</li></ul>
<ul>
<li>Contribute to prioritisation of data governance issues</li>
<li>We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role</li>
</ul>
<div class="p-rich_text_section">
<img alt=":star-struck:">We’d love to hear from you if…
</div>
<ul class="p-rich_text_list p-rich_text_list__bullet">
<li>You enjoy working with cross functional fast moving teams and are passionate about serving small businesses.</li>
<li>You are able to think strategically about the Business Banking product and how our underlying data models will unlock more insights for our team and more value for our customers.</li>
<li>You have a strong passion for data modelling, ETL projects, and Big Data.</li>
<li>You enjoy working with data streams from various services, such as financial, transactional, and operational systems.</li>
<li>SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts.</li>
<li>You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others.</li>
</ul>
<h4>Nice to haves</h4>
<ul><li>Any experience working within a finance function or knowledge of accounting.</li></ul>
<ul><li>Experience working in a highly regulated environment (e.g. finance, gaming, food, health care). </li></ul>
<ul><li>Knowledge of regulatory reporting and treasury operations in retail banking</li></ul>
<ul><li>Exposure to Python, Go or similar languages.</li></ul>
<ul><li>Experience working with orchestration frameworks such as Airflow/Luigi</li></ul>
<ul><li>Have previously used dbt, dataform or similar tooling.</li></ul>
<ul><li>Used to AGILE ways of working (Kanban, Scrum)</li></ul>
<h3>The Interview Process:</h3>
Our interview process involves 3 main stages: 
<ul>
<li>30 minute recruiter call</li>
<li>45 minute call with the hiring manager</li>
<li>Take home task</li>
<li>2-part final stage</li>
</ul>
Our average process takes around 3 weeks but we will always work around your availability.Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.
<h3>What’s in it for you:</h3>
<h3>✈️ We can help you relocate to the UK</h3>
<h3>✅ We can sponsor visas</h3>
📍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 books, training courses and conferences
➕And much more, see our full list of benefitshere
<div class="content-conclusion">
<hr>
<h3>Equal opportunities for everyone</h3>
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 <a href="https://himalayas.app/companies/monzo">Monzo</a>. At <a href="https://himalayas.app/companies/monzo">Monzo</a>, 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 blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report.
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 😊
</div>
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Senior Analytics Engineer

Running a frontline business is an operational puzzle most software has never touched. Shift-by-shift labour costs, compliance that changes by region and by role, and margins thin enough that a badly built rota can sink a quarter. It's a harder problem than most white-collar SaaS, and yet frontline sectors employ 80% of the global workforce and have received about 1% of the last decade's software investment.
We think that's because the problem needed AI, not just better software, before it was solvable. Frontline organisations sit on enormous amounts of operational data. Used properly, that data lets agents take on real parts of running the business rather than just reporting on it. That's what we're building at Sona, and it's early enough that the systems you build now will still be foundational in three years.
We've raised over $100M from N47, Felicis, Gradient and Northzone, signed more than 100 enterprise customers across the UK and US, and opened offices in London, New York, Austin and Lisbon. More on working at Sona <a href="https://www.sona.ai/careers" rel="nofollow ugc noopener" target="_blank">here</a>.
About the Role
You'll join a two-person ML team and a forecasting system making half hourly demand predictions across diverse targets for multiple restaurant chains. Our forecasting models enter into a complex environment with key machine and human decisions being made on their predictions, facing feedback loops and a highly variable environment. The system works - the challenge now is scaling it from a handful of clients to 100s.
You'll own client launches end-to-end: validating data, selecting models, running UAT, going live, and monitoring performance afterwards. You'll join client calls, build relationships, and understand what actually matters on the ground - not just whether the model is accurate, but whether the kitchen prepped the right amount of food.
You'll love this role if:
<ul>
<li>
You enjoy taking ownership of the product and outcome end-to-end. Machine learning at Sona is a success if we have happy clients running successful businesses as well as the models which are best in industry
</li>
<li>
You have a focus on solving the problem and when given the choice between "complicated and shiny" vs "get something simple in front of a user", you choose the latter
</li>
<li>
You're excited by working with our industry experts to really understand what's happening in our client's businesses and the realities of working there
</li>
<li>
You see beyond the data to the world that resulted in this data generating process, the issues that come with it and the opportunity that it gives us
</li>
<li>
You're experienced in and excited by taking a machine learning project from business idea to deployed production system
</li>
<li>
You default to AI tools for development and you're excited by what they can achieve for ML. You use Claude Code, Cursor, or equivalent daily - not as a novelty, but as your standard working mode
</li>
</ul>
Our role won't be for you if:
<ul>
<li>
You're hoping to do research and publish research papers as a key element of the work that you do
</li>
<li>
You're looking to move into a less technical, more managerial role
</li>
<li>
You're keen to get your hands on fancy new technology X and apply it to something
</li>
<li>
You prefer to work on one thing and make it perfect before moving on - the role requires pragmatism, parallelism, and iterative improvement
</li>
</ul>
Requirements
You'll need these skills/experience to be successful:
<ul>
<li>
Production ML experience, with a track record of deploying ML systems that handle messy data, fail gracefully, and need monitoring
</li>
<li>
Strong ML fundamentals - you can reason about trade-offs in practice, explain the "why" behind feature and model choices, and make good judgement calls when something unexpected happens
</li>
<li>
Client-facing deployment experience - you've personally owned an ML deployment end-to-end and are comfortable on calls with non-technical stakeholders
</li>
<li>
Strong programming skills in Python, including the ML/scientific Python stack (e.g. numpy, scikit-learn)
</li>
<li>
Daily use of AI development tools (Claude Code, Cursor, Copilot or equivalent) as your default working mode
</li>
</ul>
It would be great if you have experience in some of these areas too:
<ul>
<li>
Forecasting, time-series, or demand-planning - someone who understands lag features, calendar effects, and evaluation integrity intuitively will ramp significantly faster
</li>
<li>
Our stack: Python, scikit-learn, MLflow, Docker, GCP
</li>
<li>
A small team where ownership is wide and context-switching is normal
</li>
</ul>
Benefits
<ul>
<li>
Salary: £95,000-£110,000
</li>
<li>
Fully remote (European timezones)
</li>
<li>
Share options
</li>
<li>
35 days annual leave (25 days standard plus 10 flexible public holiday days)
</li>
<li>
Extra day of leave for every year of service
</li>
<li>
Pension contributions matched up to 5%
</li>
<li>
Comprehensive health insurance
</li>
<li>
Enhanced parental leave &amp; pay
</li>
<li>
Salary sacrifice childcare scheme (Workplace Nursery)
</li>
<li>
Co-working space stipend for those based outside London
</li>
<li>
Annual all expenses paid team retreats
</li>
<li>
The latest Macbook and equipment budget for your home office
</li>
<li>
Professional development budget
</li>
<li>
Unlimited free books
</li>
</ul>
Note: this represents a typical benefits package for a UK-based, full-time employee. Exact details may vary based on location and employment type but we try to be as fair as possible to all of our team members. Please ask your contact in the Talent team to clarify the available benefits for you.

Senior Machine Learning Engineer

<div class="content-intro">Ready to do the most impactful work of your career? At&nbsp;<a href="https://www.coinbase.com/?utm_campaign=mt_o_m_w_m_m__coi_0_jd-onchain&amp;utm_source=coinbase">Coinbase</a>, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”&nbsp;<a href="https://www.coinbase.com/careers">learn more about working at Coinbase</a>.</div>Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line.
As a Data Scientist in the consumer org, you'll apply these skills to improve the customer experience across Coinbase's consumer products—spot and advanced trading, yield, Coinbase One (CB1), international expansion, and new launches (including prediction markets and equities trading). You'll define and instrument key metrics, build measurement and causal frameworks, and translate insights into product strategy and shipped improvements.
What you'll be doing:
<ul>
<li>Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making.</li>
<li>Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations.&nbsp;</li>
<li>Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs.&nbsp;</li>
<li>Maintain a high bar for statistical rigor on your team. Ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders.</li>
</ul>
What we look for in you:
<ul>
<li>A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience</li>
<li>Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces.&nbsp;</li>
<li>Ability to influence external stakeholders by synthesizing data learnings into compelling stories.</li>
<li>Practical expertise in applying complex modeling frameworks to practical business problems.&nbsp;</li>
<li>Professional experience using SQL and Python.</li>
<li>Experience working with digital products in an iterative development cycle.</li>
<li>Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.</li>
<li>Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description">Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).</div><div class="title">Annual base salary range (excluding equity and bonus):</div><div class="pay-range">£122,400&mdash;£136,000 GBP</div></div></div><div class="content-conclusion"><ul>
<li style="font-style: italic; font-size: 8pt;">Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.</li>
<li style="font-style: italic; font-size: 8pt;">Equal Opportunity Employer: Coinbase 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, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.</li>
<li style="font-style: italic; font-size: 8pt;">US Applicants: View<a href="https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf"> Employee Rights</a>,<a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf"> Know Your Rights</a>, and<a href="https://static-assets.coinbase.com/e-verify.pdf"> E-Verify</a> Notice of Participation.</li>
<li style="font-style: italic; font-size: 8pt;">Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com.&nbsp;Need screen reading technology?<a href="https://chromewebstore.google.com/detail/screen-reader/kgejglhpjiefppelpmljglcjbhoiplfn"> Click here</a> to download a free compatible screen reader and view the<a href="http://www.chromevox.com/tutorial/"> tutorial</a>.</li>
<li style="font-style: italic; font-size: 8pt;">Data Privacy &amp; Arbitration: By submitting your application, you agree to our<a href="https://www.coinbase.com/legal/applicant_privacy_notice"> Candidate Privacy Notice</a>. US applicants: By submitting your application, you agree to<a href="https://www.coinbase.com/legal/application-arbitration-agreement"> Arbitration of Disputes</a>. </li>
</ul>
<div id="fortidlp-input-element-parent"></div></div>

Senior Data Scientist, Product

<h3>About <a href="https://himalayas.app/companies/megaport">Megaport</a>
</h3><div>We’re not your typical tech company – and we don’t want to be. <a href="https://himalayas.app/companies/megaport">Megaport</a> is the global leader in Network as a Service (NaaS), and has transformed the way businesses connect to the cloud, data centers, and each other. We’re publicly listed on the Australian Stock Exchange and partnered with the biggest names in tech like Amazon, Microsoft, Google, Oracle, IBM, and more. Headquartered in Brisbane with a crew of over 600 people spread across Asia-Pacific, Europe, and the Americas, our employees enjoy an environment that is collaborative, supportive, and (actually) fun.</div><h3>Our Team Culture</h3><div>We’re a team of problem solvers, pixel pushers, code slingers, and cloud fanatics. Culture is more than a poster on the wall here – collaboration beats hierarchy, curiosity fuels our growth, and everyone’s voice matters. We take our work seriously, but not ourselves. We work across time zones to execute on our global vision, trust each other to get things done, and never compromise our values for commercial gain. Most importantly, we place our customers at the center of everything we do.</div><div>We’re committed to increasing representation in the tech industry and welcome applicants from all backgrounds. Don’t meet every requirement? That’s okay. If you’re excited about this role, we encourage you to apply.</div><h3>Your Role</h3><div>
As a Technical Business Analyst, you'll be a vital link within one of our Network Automation teams, bridging the gap between business needs and technical solutions. You'll translate functional requirements from stakeholders into clear, actionable technical specifications for engineers. Your core responsibilities include in-depth requirements analysis, process documentation, and effectively communicating complex findings to both technical and non-technical audiences.
We're looking for an analytical thinker who excels at eliciting detailed problem statements, defining clear acceptance criteria with the QA team, and fostering seamless communication across the entire development lifecycle.
</div><h3>What You’ll Be Doing</h3><ul><div><ul>
<li>Leading discovery sessions with stakeholders to capture and document service automation and system requirements, ensuring a clear and shared understanding of desired outcomes across the organisation.</li>
<li>Visualising complex concepts through technical designs, service orchestration workflows, system requirements, and business processes to facilitate clear understanding and alignment on business outcomes.</li>
<li>Translating functional requirements into detailed technical specifications, effectively bridging the gap between business and engineering teams.</li>
<li>Owning and prioritising the team's backlog of user stories.</li>
<li>Collaborating closely with engineers to ensure precise communication and refinement of product requirements.</li>
<li>Facilitating agile refinement sessions to drive a shared understanding of project goals and impacts across diverse teams.</li>
<li>Continuously improving existing processes to optimise collaboration and efficiency between business and engineering teams</li>
</ul></div></ul><h3>What We Are Looking For</h3><ul><div><ul>
<li>5+ years of dedicated experience in Business Analysis or a closely related technical role.</li>
<li>Proven expertise in collaborating with stakeholders to define, validate, and secure agreement on effective solutions.</li>
<li>Exceptional ability to produce clear, concise, and comprehensive documentation.</li>
<li>Translating complex technical concepts into understandable terms for both technical and non-technical audiences.</li>
<li>Robust analytical and conceptual thinking skills essential for dissecting intricate business problems.</li>
<li>Superior planning, organisational, and time management capabilities to effectively prioritise and manage multiple initiatives.</li>
<li>Solid understanding and demonstrable experience applying Agile principles within software development teams.</li>
<li>Practical experience with APIs, web services, and web-based software projects.</li>
<li>Understanding of networking concepts is highly beneficial.</li>
</ul></div></ul><h3>What We Offer</h3><ul>
<li>Flexible working environment – a remote-first culture with coworking options available</li>
<li>Generous leave plans – including 4 weeks of paid annual leave, parental leave, birthday leave, and a purchased annual leave program</li>
<li>Health and wellness support – through a wellness allowance and employee wellbeing initiatives</li>
<li>Comprehensive learning support – generous study and training allowance plus paid study leave</li>
<li>Creative, modern workspaces – designed to inspire when you're not working remotely</li>
<li>Motivated, inclusive team – work alongside industry experts and fresh talent</li>
<li>Recognition programs – celebrate achievements with our Legend and Kudos awards</li>
<li>For U.S. employees – access to medical, dental, and vision insurance, plus a 401(k) plan</li>
</ul><div>If you have any questions, please reach out to <a href="https://himalayas.app/companies/megaport">Megaport</a>'s Talent Acquisition Team at </div><div>NOTE: All <a href="https://himalayas.app/companies/megaport">Megaport</a> business correspondence is conducted via our business email accounts (@megaport.com). If you have any concerns, please reach out to <a href="https://himalayas.app/companies/megaport">Megaport</a>'s careers team directly and we will verify the legitimacy of any communication. <a href="https://himalayas.app/companies/megaport">Megaport</a> will not ask you to create an account via Microsoft teams, and does not associate with any email accounts under "@megaportau.com". </div><div>All applications will be treated in confidence.</div><div>Please see Part 2 of our Privacy Policy to see what information <a href="https://himalayas.app/companies/megaport">Megaport</a> collects from job applicants, why, and how we store and use it. Note that you’re entitled to know what personal data of yours <a href="https://himalayas.app/companies/megaport">Megaport</a> holds, to request updates, rectification, and in some circumstances restriction or deletion thereof if you object (you being entitled to withdraw your consent to our holding your information at any time). Please see Part 5 of our Privacy Policy for more details on this and how to contact <a href="https://himalayas.app/companies/megaport">Megaport</a>'s data protection officer if you have any further privacy-related questions. Candidates who meet the selection criteria will be invited to attend an interview. Strictly no Recruitment Agencies.</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

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