Product Analyst / Data Scientist

You'll sit within the central Data function and partner closely with Product Managers to analyse user journeys, run A/B tests, and provide the insights that shape product decisions. This is a hands-on, impact-driven role in a modern data environment with huge opportunities to influence the product roadmap. What you'll be doing

• Apply quantitative analysis and storytelling to understand how users interact with the platform and what drives behaviour.
• Use data proactively to uncover opportunities, size problems, and generate hypotheses for testing.
• Design, run, and analyse A/B tests and experiments in partnership with product teams.
• Define and track meaningful product metrics; ensure consistent measurement across teams.
• Build and maintain core data products enabling self-serve insights and faster product decisions.
• Conduct deep dives into user journeys, drop-off points, behaviour segments, funnel performance, and platform trends.
• Collaborate cross-functionally with engineers, data teams, product, commercial, and marketing stakeholders.
• Contribute to the Insights Hub and documentation repositories, keeping analytical knowledge up-to-date.

Are you a Product Analyst who loves understanding user behaviour, running experiments, and helping product teams build better digital experiences? I'm hiring for a Product Analyst role at a well-established consumer platform offering discounts and perks to millions of UK users. The business is scaling internationally and evolving into a more tech-led organisation, giving you massive data, real ownership, and exposure to strategic product work., * Strong SQL skills.

• 5+ years hands-on experience with product analytics in a tech or consumer-app environment, ideally companies like Monzo, Deliveroo, Just Eat, marketplaces, or membership/loyalty platforms.
• Experience running and evaluating A/B tests and experimentation frameworks.
• Ability to translate business problems into analytical tasks and communicate clear, actionable insights.
• Strong storytelling ability, turning numbers into narratives

Good to have:

• Experience working with large-scale customer behaviour datasets.
• Experience in consumer tech, fintech, loyalty platforms, or other high-traffic digital products.
• Python/R/dbt exposure (not required).

While open, the strongest fits tend to come from tech-first consumer products where experimentation, app behaviour insights, and funnel optimisation are standard ways of working. The culture & offer

• A modern, data-mature environment with over four million UK users and expanding globally.
• A product-led organisation investing heavily in experimentation and user behaviour analytics.
• Private equity backing driving international expansion and new capabilities.
• Salary up to £90k depending on experience.
• Offices in London and Leicester - 1-2 days a week