Senior Product Data Analyst

We Are Redefining How People Approach Their Health
ZOE 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 % e