Product Analyst / Data Scientist

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.

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.

• 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.

Must-haves:

• 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).

Industry background:
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.

• 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