**This position is posted by Jobgether on behalf of Billtrust. We are currently looking for a Marketing Insights & Analytics Director in Anywhere.** If you're passionate about data-driven strategy and thrive in fast-paced environments, this role is an opportunity to shape the future of marketing effectiveness. As a key driver of insights and performance measurement, you'll lead the development of dashboards, reports, and analytics that guide strategic decisions. Collaborating with cross-functional teams, you'll transform complex datasets into actionable intelligence to support growth goals and marketing excellence. This remote-friendly position empowers you to influence key initiatives and drive measurable business impact through data storytelling. **Accountabilities:**

*   Analyze marketing performance data across multiple channels to uncover trends, evaluate ROI, and provide insights that support strategic decision-making
*   Develop and maintain performance dashboards and visualizations using tools like Power BI, Salesforce, Marketo, and CaliberMind
*   Define and track key marketing KPIs, delivering regular reports to communicate progress and identify opportunities for optimization
*   Oversee processes for consolidating and summarizing campaign metrics across global markets, ensuring data consistency and alignment
*   Collaborate with marketing, sales, and revenue operations teams to implement scalable reporting systems and data-informed planning processes
*   Partner with demand generation, field marketing, and web teams to ensure alignment between goals, activities, and outcomes
*   Share best practices with cross-functional stakeholders, contributing to data literacy and process improvements across the business

**Requirements**

*   6+ years of experience in marketing analytics or operations within a B2B SaaS environment
*   Strong data analysis capabilities, including knowledge of statistical methods and research practices
*   Expertise in marketing and business intelligence platforms such as Power BI, Salesforce, Marketo, and familiarity with tools like Demandbase, Outreach, and ZoomInfo
*   Proven ability to synthesize complex data into clear insights and strategic recommendations
*   Deep understanding of multi-channel B2B marketing principles, including digital and account-based marketing
*   Strong project management and communication skills, with the ability to collaborate across teams and present findings to senior leadership
*   Experience designing systems and structures to support data accessibility and consistent reporting in rapidly evolving environments
*   Comfortable working autonomously in a fast-paced, remote-first organization

**Benefits**

*   Competitive base salary range: $148,000-$166,000, with potential additional incentives (e.g., equity or bonuses)
*   Work from anywhere: Home, coffee shop, or company-paid WeWork space
*   Flexible hours and open PTO policy to support work-life balance
*   Paid parental leave and sabbatical programs
*   Professional growth through mentorship, leadership development programs, and employee resource groups (ERGs)
*   Employee recognition programs, including Culture Champion and CEO Excellence Awards
*   Comprehensive benefits: medical, dental, vision, 401(k) with company match, HSA/FSA, life and disability insurance, and more
*   A values-driven, low-bureaucracy environment that promotes ownership and outcome-oriented work

**Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.** When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job's core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. **Thank you for your interest!**

Marketing Insights & Analytics Director

Our mission

We're making Africa the first cashless continent.

In 2017, over half the population in Sub-Saharan Africa had no bank account. That's for good reason—the fees are too high, the closest branch can be miles away, and nobody takes cards. Without access to financial institutions, people are forced to keep their savings under the mattress. Small business owners rely on lenders who charge extortionate rates. Parents spend hours waiting in line to pay school fees in cash.

We're solving this by building financial services that just work: no account fees, instantly available, and accepted everywhere. In places where electricity, water and roads don't always work, you can still send money with Wave. In 2017, we launched a mobile app in Senegal for cash deposit, withdrawal, and peer-to-peer and business payments. Now, we have millions of users across six countries and are growing fast.

Our goal is to make Africa the first cashless continent and that's where you come in...

**How you’ll help us achieve it** 

Wave is now the largest financial institution in Senegal, with over 7 million users. And, we’re still in the early days of our product roadmap and potential impact on people’s everyday lives.

We’re looking for an experienced Data Scientist and help grow and strengthen our user base. You’ll work on high-impact use cases with millions of users, such as optimizing our existing scratch card rewards program or designing and launching entirely new initiatives from scratch.

The technical challenges range from crafting simple heuristics when data is sparse to applying advanced techniques like geospatial analytics, network analysis, and uplift modeling. You’ll own the full cycle: defining the right approach, implementing it, and shipping it in production.

This role is highly experimentation-driven: you’ll be able to rapidly test ideas, learn from real user feedback, and iterate quickly.

We’re looking for someone who is product-minded, hands-on, and pragmatic: a data scientist who sees beyond models and algorithms and thinks deeply about how data connects to intuitive user behavior and real-world impact.

In this role you’ll:

*   Be part of a multidisciplinary team, working with engineers, data analysts, economists and a product manager.
*   Focus on advanced analytics and machine learning problems, delivering them end-to-end independently.
*   Prioritise work and shape your own approach in a way that maximises the positive impact on both users and the business.
*   Engage not just with business metrics, but also collaborate closely with Operations teams to understand the real-world outcomes and impact of your work.

**Key Details**

*   You can work remotely from anywhere (between UTC -5 and +2) with reliable Internet access.
*   Wave covers travel once per year to one of our operating countries in Africa, as well as a yearly stipend of $1,200 to meet with coworkers.
*   Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level and location, we offer a salary of up to $149,200 USD (paid in your local currency equivalent), plus a generous equity package. 
*   Major benefits:

*   Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country).
*   6 months of fully paid parental leave and subsidized fertility assistance.
*   Flexible vacation, with most folks taking between 21-30 days exclusive of statutory holidays.
*   $10,000 annual charitable donation matching.

**Requirements**

*   Education and Experience

*   Minimum Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline. A Master's or PhD is a plus.  
*   4+ years experience in applied data science or similar experience.
*   Demonstrated experience with data analysis, machine learning and product A/B tests.
*   Experience in using advanced analytics for optimising targeting, rewards or incentive programs is a big plus.

*   Technical skills

*   Proficiency in applying machine learning methods to solve business problems.
*   Very strong Python skills with expertise in data manipulation, analysis and machine learning. Must be comfortable writing code that runs in production.
*   Competent in SQL.
*   Solid foundation in probability and statistics.

**You might be a good fit if you** 

*   Thrive on spotting key problems and finding the fastest, most effective solutions.
    
*   Enjoy and excel at working on machine learning and statistics problems.
    
*   Quickly build and validate proof-of-concept solutions, refining based on real-world feedback.
    
*   Prefer pragmatic approaches but apply complex methods when the impact is worth it.
    
*   Work iteratively, knowing when a project is “good enough” to avoid over-polishing.
    
*   Communicate insights clearly to all audiences and make confident, data-driven recommendations.
    

Our team

*   We have a rapidly growing in-country team in Senegal, Côte d'Ivoire, Mali, Burkina Faso, The Gambia, and Uganda, plus remote team members spread across the world.
*   We're deeply passionate about our mission of bringing radically affordable financial services to the people who need them most.
*   We foster autonomy for our employees. You'll own your projects at every stage, from understanding the problem to monitoring your solution in production.
*   We raised the largest Series A in Africa in 2021. Our world-class investors, include Founders Fund, Sequoia Heritage, Stripe, Ribbit Capital, Y Combinator, and Partech Africa.
*   We are on Y Combinator's top companies by revenue.

How to apply

Fill out the form below, and upload a resume in English and a cover letter describing your interest in Wave and the role.

We review applications frequently and recommend that you apply to the role that most closely aligns with your skills, experience and career goals.

Wave is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Data Scientist

**_We at Allen & York are incredibly excited to be partnering with Water Resources East to support recruitment of this very important role._Data Analyst – nature recovery and water resources**

Permanent contract: Full time, 37 hours per week, with possibility for flexible working hours

Location: Home-based, with occasional trips to London and Eastern England

Attractive benefits package: 26 days annual leave increasing up to 30 days, bonus scheme, pension scheme, health and wellbeing benefits

**The Opportunity**

Water Resources East (WRE) is looking for a new team member with a passion for data and everything that’s made possible when quality data is put to work and is accessible by the right people. The successful candidate will support WRE’s Technical Director and technical team to develop the next Regional Water Resources Plan for Eastern England, and put data and data insights at the heart of a programme of catchment-scale Environmental Destination investigations – a key element of the water sector’s Water Industry National Environment Programme (WINEP) for the 2025 – 2030 period.

The WRE team is home-based but meets at least monthly in Cambridge, Huntingdon or London.

**About Water Resources East**

Water Resources East (WRE) is the independent, not-for-profit membership organisation tasked under the _National Framework for Water Resources_ to produce a multi-sector, long-term regional water resources plan for Eastern England. WRE published its Regional Water Resources Plan in December 2023, and a progress report in January 2025.

**The role**

As a Data Analyst you will work with the wider team and stakeholders to create, improve, manage and share environmental and water resources data sets. Your work will be central to developing a shared understanding of the scale of the water resources challenge resulting from our ambitions to improve the resilience of and enhance the water environment, while building resilience to climate change across water-using businesses and the rural economy.

The Data Analyst will:

*   Act as WRE’s central point of contact on data matters for key technical leads at the Environment Agency, our Water Company members and other stakeholders.
*   Act as WREs’ data custodian, sitting at the heart of our new centralised data management and workflow system to be developed later this year. This will include management of data quality checks and tight version control procedures.
*   Ensure that WRE's data management complies with third party data licencing requirements. This will involve working with WRE's legal support and WRE management.
*   Manage and develop GIS datasets and their partners' use of it to support catchment-level and regional multi-sector water resources planning. This might include working with the wider technical team and consultants on new visualisations, interactive tools and other products such as online ESRI story maps.
*   Manage existing, and create new online dashboards and visualisations (for example Progress Report Data Dashboard) using Power BI or other suitable tools.
*   Work with data and GIS leads at the Rivers Trust and the Environment Agency to build on WRE’s ambitions to make as much data publicly accessible as possible.
*   Support/lead the collation and visualisation of data for next Annual Progress Report.
*   Support WRE’s SharePoint management and other data sharing platforms.
*   Work with the Environment Agency and WRE Stakeholder Lead to make best use of data outputs from national screening tools to develop greater cross-sector understanding of the nature of water resources challenges and how they differ across catchments and for different types of businesses.
*   Use and draw insights from new catchment and water resources systems models.
*   Facilitate catchment stakeholders to develop solutions to their water challenges through provision of data, access to tools and provision of expertise.
*   Support WRE’s developing understanding of the benefits of Nature-based Solutions alongside Norfolk Water Management Strategy through better data management and sharing.

**About you:**

WRE’s Data Analyst will:

*   Have relevant experience gained in either a professional or research setting.
*   Have experience managing large datasets across disciplines and managing quality, version control and sharing.
*   Be numerate and comfortable working with data, and be able to present data logically using a variety of approaches.
*   Have a good understanding of IT including Microsoft packages such as Excel, SharePoint, and Teams
*   Have the ability to develop, follow and maintain procedures to ensure the accurate maintenance of technical workflows.
*   Have impeccable attention to detail and organisational skills.
*   Be methodical with strong problem-solving skills and the ability to work using your own initiative.
*   Have experience using Power BI and/or other data visualisation software
*   Have GIS experience – they currently use ESRI ArcGIS

**The following would be an advantage** but are not essential.

*   Have an understanding of current challenges surrounding water quality and water resources in Eastern England.
*   Have skills or proven experience of managing projects.
*   Have experience in programming and app development.
*   Have experience supporting the delivery of technical projects through data interpretation, reporting, and presenting data (written and orally) to technical and non-technical audiences.
*   Have experience liaising with those working outside of your immediate area of expertise as part of a multi-disciplinary team.

**Water Resources East is an Equal Opportunity Employer**

WRE believes that equal opportunity means inclusion, diversity and fair treatment for all. Their commitment to diversity and inclusion includes the recognition that the work and the success of the organisations is best advanced by the leadership and talent of people drawn from diverse backgrounds and cultures.

They are passionate and committed to the learning and development of their people, making sure team members have the right skills and knowledge to be successful and to help achieve their potential. They take the health, safety and wellbeing of their colleagues very seriously in everything that they do.

They offer an attractive benefits package, including:

*   26 days annual leave, increasing to 30 days per year of service, plus bank holidays
*   Bonus scheme
*   Employer pension contributions up to 12%
*   Full health insurance
*   Flexible working hours
*   Monthly in-person team meetups
*   Ongoing training for professional development

For more information regarding this opportunity please contact Michelle: mluck@allen-york.com

About us: Allen & York have been matching purposeful people with purpose-led organisations for 30 years. We partner with our clients and candidates on roles that build an understanding of climate change, promote sustainability and create inclusive and responsible organisations, working towards a sustainable world for us all. Committed to inclusiveness in the workplace, we aim to increase diversity across all areas and therefore welcome applications from all qualified candidates, regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, or whether or not they have a disability. Let’s help build a better world, together.

Data Analyst - Water Resources

**We Are Redefining How People Approach Their HealthZOE** is the science and nutrition company leading a movement to transform the health of millions. We exist because the food we eat is making us sick. Most of what we are taught about food is wrong. ZOE runs the world’s largest nutrition science study to find scientifically proven solutions. Our randomised controlled trial of ZOE proves that if you eat the right food for your body, you can feel healthier in weeks and be on track for more healthy years. ZOE can change the way you eat, feel, and live. We host world-leading scientists on our podcast and bring proven science to your plate with Daily30+, our 30+ plant supplement. Over 100,000 people rely on ZOE Membership, our personalised nutrition program, to make smarter food choices. ZOE Membership turns complex science into clear step-by-step actions, helping you improve your health with every meal. ZOE means life — and you can change your life with food. Visit our career page and become a ZOEntist 🚀 **🚀 The Role** As a **Senior Product Data Analyst** , you will be the **analytical backbone** of our product teams, transforming raw behavioural data into powerful insights that shape strategy, roadmap and user experience. You’ll take part in designing and building the **end-to-end data workflow** —from working with engineers to instrumenting events, modelling data in dbt, and delivering clear, compelling narratives that empower us to **#ActFast on :70 % evidence** . We believe that most decisions are reversible, so we value smart risks and rapid iteration. **👥 The Team** At ZOE, we're on a mission to empower people with the most advanced science and technology to transform their health. Our Product Analytics team plays a central role in this mission, turning data into insights that shape product strategy and drive high-impact decisions. We collaborate with product managers, designers, engineers, and scientists to ensure that every feature we build improves the experience and outcomes for our members. By leveraging data and experimentation, we continuously refine our products to deliver meaningful value and measurable health improvements. The team is composed of four members with a mix of analytics engineering and data analysis skills, and we also work closely with data scientists. **🎯 What You’ll Be Doing**

*   Design and iterate on core product metrics (user activation, retention, engagement, and monetisation), ensuring they are accurate, timely, and reliable
*   Build and maintain lightweight, test-covered ELT pipelines (Fivetran → BigQuery → dbt → Hex) that make clean data accessible to everyone
*   Prototype analyses in SQL/Python, starting with the simplest approach and layering complexity only when it materially sharpens the answer.
*   Partner with Product Managers to plan A/B tests, quantify opportunities, and identify friction points in the user journey.
*   Ship dashboards and ad-hoc decks that persuade—clarity and narrative first, visuals and stats in service of the story.
*   Champion a product-mindset culture: ask “so what?” on every query, translate findings into actionable next steps, and iterate quickly when the market proves us wrong.

**🧠 What You’ll Bring To The Table**

*   Have 5 + years of professional experience in data analytics. Hold a bachelor’s (or advanced) degree in a quantitative field, e.g., Stats, Maths, CS, Physics, Engineering, or Economics.
*   Enjoy tackling \*\*\*\*open-ended questions and finding elegant, unexpected solutions. You combine intellectual curiosity with a creative approach to problem-solving.
*   Are fluent in SQL and comfortable coding in Python; you’ve touched dbt or other data transformation tools, or you’re a quick learner.
*   Have handled real-world data messiness before (missing events, conflicting definitions) and know how to get to “good enough” without getting stuck.
*   Treat statistics as a power tool, not a party trick—confident with basic stats and able to recognise when fancier models are (or aren’t) worth it.
*   Thrive in an early-stage environment with high ownership, tight deadlines, and rapid iteration. You're comfortable with less process and enjoy seeing fast feedback loops.
*   Thrive in early-stage environments: little process, high ownership, tight deadlines, rapid iteration, and feedback loops measured in days.
*   Communicate crisply—whether writing a one-pager for leadership, debating trade-offs with engineers, or walking non-technical teammates through a funnel drop-off chart.
*   Live our #ActFast value—you’re happy to move on :70 % evidence because speed beats perfection in a startup. You recognise most calls are reversible, avoid reinventing the wheel, take smart risks, and pivot quickly, knowing the team has your back.

**✨ Our Hiring Journey**

*   👋 Talent Acquisition Screen – 30 to 45 mins

A friendly intro chat with our Talent team to learn about your background, skills, and what excites you about ZOE and this role. Feel free to ask any questions about the team, culture, or next steps.

*   🧠 Hiring Manager Technical Screen – 45 mins

A deep dive with the hiring manager to discuss your experience working with data and analytics, the impact you’ve had, and how you solve complex problems with metrics and storytelling. Come ready to share examples and insights!

*   💻 Live Technical Assessment – 90 mins

A hands-on session with a Data Scientist and Data Analyst where you’ll work through a real-world analytics challenge. We’ll explore your SQL and Python skills, problem-solving creativity, and ability to turn data into a compelling narrative.

*   🤝 Cross-Functional Interview with Product Team – 45 mins

Join our product team to chat about how you partner with product managers, engineers, and designers. We’ll talk collaboration, experimentation (think A/B tests!), and how you turn data insights into actionable product improvements.

*   💬 Final Values & Leadership Interview – 45 mins

A conversation with our Senior Data Science and Analytics Managers focusing on your leadership approach, communication style, and how you live our #ActFast value — embracing smart risks and rapid iteration in a fast-paced environment.

*   🎉 Offer Stage

We move quickly and keep the process clear and supportive. If you’re the right fit, you’ll receive an offer along with a warm welcome and next steps to join the ZOE mission. The experience, skills, and attributes listed above reflect what we believe will contribute to success in this role. If you're passionate about ZOE and the opportunity, but don't meet 100% of the criteria, we still encourage you to apply. We are committed to supporting growth and are happy to offer up-skilling opportunities where possible. **Remote Philosophy** ZOE is a remote-first company, meaning remote work isn’t just an option — it’s how we work best. We are intentional about building a distributed, high-performing team where collaboration, trust, and flexibility thrive. We design our workflows around asynchronous communication and shared documentation to support autonomy, focus, and cross-timezone collaboration. While our teams work independently, connection and teamwork remain central to how we operate — through regular rituals, meaningful virtual interactions, and in-person gatherings every quarter. These include team offsites and a yearly company-wide retreat to build relationships, spark creativity, and have fun together. Being remote-first also means we value outcomes over hours and trust our team members to manage their work in a way that suits their unique rhythm and responsibilities. This approach allows us to support a truly flexible work environment, while staying aligned with our mission and values. At ZOE, working remotely doesn’t mean working alone — it means being empowered, supported, and connected, wherever you are. **Compensation Philosophy** We are committed to offering competitive and equitable compensation that reflects the value of each role and aligns with regional labor market standards. Our approach to compensation goes beyond just base salary — we offer a comprehensive package that includes base pay and stock options, ensuring that every team member is rewarded for their contributions to the company’s growth and success. We believe that building a thriving team requires not only providing fair and competitive compensation but also fostering an environment where success is shared collectively. Our total compensation package is designed to support the well-being of our employees, recognise their individual contributions, and empower them to grow alongside ZOE. **Benefits & Perks** We understand the significant role our benefits play in motivating, inspiring and safeguarding our employees' well-being. Our benefits strategy is thoughtfully designed to echo our mission and values, recognising the diverse needs arising from different life stages of our ZOEntists. Our approach to benefits takes an inclusive and flexible view of both personal and professional growth. From competitive health insurance and wellness packages to inclusive parental policies, building connection, and tailored professional development programs, we've got you covered. At ZOE, we continue to build a benefits package that invests in our team members’ long-term personal and professional growth and wellbeing, adding to this list as it evolves. **Equal opportunities** We are committed to fostering a diverse and inclusive team where every individual can bring their authentic self to work. We believe that this is key to our success and are dedicated to positively impacting the tech industry. As part of our commitment to equal opportunities, we encourage candidates from underrepresented backgrounds to apply. We ensure a respectful and inclusive environment for all and do not discriminate on the basis of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, marital status, disability, or age. If you require any accommodations during the interview process, please feel free to inform us, and we will make every effort to support your needs.

Senior Product Data Analyst

**DATA ANALYST - UP TO £240/day DEPENDING ON EXPERIENCE - REMOTE**

Robert Half are thrilled to be working with a long-standing client who are looking for a full-time Procurement Specialist, offering fully remote working!

**Responsibilities:**

*   End-to-end process of analysing, cleansing, and re-categorising supplier spend data to identify opportunities for efficiency and cost optimisation.
*   Supporting strategic initiatives within the Maintenance, Repair, and Operations (MRO+) supply chain category.
*   Collaborate with both upstream and downstream stakeholders.

**Requirements:**

*   Experience in applicable sector - procurement or supply chain ideally, but open to manufacturing or construction experience.
*   Strong data analytic experience.
*   Exceptional communication skills
*   Must be immediately available or have a short notice period!

Data Analyst

**Principal Statistician FSP | Global CRO | Permanent | UK | Home Based |**

Award-winning global biometric CRO have multiple opportunities for experienced Principal Statisticians to join its growing FSP team.

Partnering with top pharma, biotech, and medical device companies, they deliver high-quality biostatistics, programming, data management, and data science services.

**What you will be doing:**

The successful candidates will be working as a statistician on cardio, renal & metabolic clinical trials; producing and validating complex outputs to excellent quality whilst adhering to deliverable timelines.

**What you will need:**

*   Educated to PhD or MSc in Biostatistics, statistics or a related discipline
*   Experience within the pharmaceutical industry to have a good awareness of clinical trial issues, design, and implementation.
*   Familiarity with GCP and regulatory requirements
*   Experience of writing SAPs, protocols

**What’s in it for you:**

*   Recognized as an outstanding workplace, committed to employee engagement, satisfaction, and work-life balance.
*   Structured training, development plans, and a supportive, friendly environment.
*   Condensed hours for a shorter workweek.
*   Competitive salary and benefits package.
*   Fully remote role.

**What to do next:**

If this opportunity is of interest, please apply now with your CV as the organisation are looking to welcome Principal Statisticians onboard as soon as possible.

**Not what you’re looking for?**

Please contact Jo Fornaciari at jo@warmanobrien.com for a confidential discussion about potential other opportunities in the UK and across Europe.

Principal Statistician

**About us**

We are building a commercial management platform for the legal industry. GenAI is set to transform legal and other time & materials-based industries, and players in those sectors are looking to adapt their commercial models to that new reality.

Our platform makes that possible by harnessing unstructured data scattered across law firms to facilitate decision making around pricing, legal engagement management and law firm go-to-market motions.

We are experiencing rapid growth underpinned by our relationships with some of the world’s top law firms, and are looking to add talent to help us deliver the best experience possible to our customers.

We are a team with backgrounds from leading academic and research institutions and top startups and financial firms. We are looking for people who fit that mould and are excited to build products at the cutting edge of applied AI.

**About the role**

We’re looking for an AI/ML Engineer to help us build intelligent agentic systems that make use of both our own machine learning models and frontier LLMs. You’ll work alongside our backend engineers and data scientists to design, build, and deploy AI-powered capabilities across our platform.

As with the rest of our team, we value well-engineered, maintainable solutions over quick fixes. We want someone who is excited to build scalable, production-grade ML systems — not just prototypes — and contribute to a thoughtful, collaborative team environment.

**Target Requirements**

*   Competencies in our core stack or highly transferrable analogues: Python, AWS, Terraform, GitLab CI
*   Solid understanding of modern ML development and deployment practices
*   Experience building agentic systems or autonomous workflows (e.g. task-oriented LLM agents, tool-augmented LLMs, or multi-modal agents)
*   Familiarity with LLM APIs (e.g. Gemini, OpenAI, Anthropic) and how to integrate them effectively into products
*   Good understanding of data pipelines and MLOps principles (e.g. reproducibility, monitoring, versioning)
*   Analytical background (e.g. STEM degree or equivalent experience)
*   Comfortable navigating common technical challenges, contributing to discussions, and refining technical requirements
*   Able to operate independently on existing or new ML systems while improving project structure
*   Delivers consistently within collaborative frameworks (Agile or similar)
*   Builds clean, scalable, and maintainable solutions using appropriate tools and patterns — avoids brittle "hacks" for short-term speed

**Ideal / Bonus**

*   Brings ideas and practices that help the team level up (e.g. new tools, techniques, or ML/LLM capabilities)
*   Familiarity with RLHF, fine-tuning, retrieval-augmented generation (RAG), or similar
*   Experience with Golang
*   Experience working in regulated industries (health, legal, financial) and understanding of associated ML risks and constraints
*   Positive force in growing a strong engineering team and helping us develop as we scale

**Offer**

*   Competitive salary
*   Employee stock options in a revenue-generating, VC-backed startup
*   Remote working with flexible hours
*   28 days personal time off
*   Regular team meet ups
*   Progression opportunities as we scale the team

AI/ML Engineer

**Role:** BI Analyst

**Location:** Remote with occasional travel (UK-based)

**Rate:** up to £400 per day (Inside IR35)

**Duration:** 6 months initially (Temp-to-perm potential)

**Start:** ASAP

**Overview:**

Urgent requirement for a BI Analyst to join an ongoing transformation programme replacing 20+ systems with a single operational platform. The immediate need is for real-time, customer-facing dashboards, primarily in **Power BI,** to provide insight into operational performance across cleaning, security, audits, etc. There’s strong interest in long-term development, with CRM and broader data initiatives in the pipeline.

**What you’ll be doing:**

*   Building and delivering Power BI dashboards focused on operational data
*   Creating sector-specific templates (e.g. healthcare, retail, transport)
*   Engaging with stakeholders to define and refine reporting requirements
*   Working alongside data architects, project leads, and IT leadership
*   Integrating Power Platform features (e.g. buttons for customer feedback)
*   Supporting data clean-up and standardisation across audits and forms

**Tech Stack:**

Power BI (core), Power Platform, Microsoft Stack (essential)

Experience with TimeGate or rostering tools is a plus

**What we're looking for:**

*   5+ years' experience in BI roles with strong Power BI delivery
*   Someone who can hit the ground running and take ownership from day one
*   Experience creating dashboards for operational/contract data
*   Background in facilities, healthcare, retail, transport, or similar sectors is desirable
*   Confident communicator able to engage across tech and business teams

**Why this role?**

There’s a genuine long-term opportunity here. Temp-to-perm is a strong possibility.

Latest Remote Jobs in
UK·Data Analysis

Marketing Insights & Analytics Director

Marketing Insights & Analytics Director

Data Scientist

Data Scientist

Data Analyst - Water Resources

Data Analyst - Water Resources

Senior Product Data Analyst

Senior Product Data Analyst

Data Analyst

Data Analyst

Principal Statistician

Principal Statistician

AI/ML Engineer

AI/ML Engineer

Business Intelligence Analyst

Business Intelligence Analyst

Latest Remote Jobs inUK·Data Analysis

Marketing Insights & Analytics Director

Marketing Insights & Analytics Director

Data Scientist

Data Scientist

Data Analyst - Water Resources

Data Analyst - Water Resources

Senior Product Data Analyst

Senior Product Data Analyst

Data Analyst

Data Analyst

Principal Statistician

Principal Statistician

AI/ML Engineer

AI/ML Engineer

Business Intelligence Analyst

Business Intelligence Analyst

Latest Remote Jobs in
UK·Data Analysis