Senior Product Analyst

Admiral Business sit within the Admiral Group, and are the experts in business insurance, offering SME insurance for tradespeople, professionals, and couriers. They build products and services that put their customers’ first, combining agility with reliability to deliver innovative products and superior customer experience to the under‑served SME market across the UK.

This is a high‑impact role at the centre of our product‑led growth strategy. We’re looking for a Senior Product Analyst to own the insight and experimentation that drives how we acquire, convert, and retain customers across our digital insurance journeys. You’ll combine behavioural, transactional, and portfolio data to identify the highest‑leverage growth opportunities, balancing conversion, margin, and risk.

This role is for someone who moves quickly, thinks commercially, and turns complex data into confident product decisions. You’ll operate with high autonomy, partnering closely with product, engineering, underwriting, and commercial teams to shape roadmap decisions through clear, evidence‑led thinking.

• Own the end‑to‑end measurement framework for product‑led growth
• Define and evolve north‑star and input metrics across the funnel (Quote → Buy → Retention)
• Identify and prioritise the highest‑impact opportunities to improve conversion, retention, and portfolio performance
• Quantify trade‑offs between conversion, margin, risk mix, and long‑term value
• Partner with underwriting and commercial teams to ensure growth initiatives improve both conversion and portfolio quality

• Analyse customer behaviour across quote and purchase journeys to pinpoint drop‑offs and friction
• Reconcile frontend behavioural analytics with backend transactional and policy‑level data
• Uncover segment‑level performance differences, referral and decline drivers, and risk‑mix implications
• Evaluate the impact of incentives, propositions, and product changes on acquisition, conversion, and portfolio outcomes
• Design, run, and interpret A/B and multivariate tests with strong commercial judgement
• Use early directional data appropriately to guide fast decisions
• Establish best practices for experimentation design, measurement, and interpretation
• Help product teams build confidence in testing, learning, and iterating quickly

• Build and own a fast, reliable product analytics layer that supports rapid experimentation and confident decision‑making
• Define scalable event tracking and behavioural frameworks that enable learning without over‑engineering
• Work hands‑on with SQL and modern data tooling to answer questions quickly and independently
• Partner with data engineering to ensure analytics foundations support rapid iteration

• Create clear, outcome‑focused dashboards and reusable data products
• Translate complex data into simple narratives and sharp recommendations
• Influence roadmap prioritisation through strong commercial reasoning
• Champion a culture of product‑led, data‑informed growth across the organisation

• Advanced SQL skills (essential), with the ability to independently interrogate complex datasets
• Experience working with cloud data warehouses ( Snowflake or similar)
• Strong understanding of GA, event tracking, and Google Tag Manager
• Experience reconciling frontend analytics with backend transactional data
• Proven experience designing and analysing A/B tests in a product environment
• Commercial mindset, comfortable analysing conversion vs margin trade‑offs and portfolio impact
• Experience with Python, dbt, and Git preferred

• Clear, trusted funnel metrics adopted across product and commercial teams
• A prioritised experimentation roadmap delivering measurable uplift in conversion and margin
• Improved visibility of segment performance and portfolio mix
• Faster, more confident product decisions enabled by reliable analytics

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