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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.
Job Responsibility:
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
Requirements:
Advanced SQL skills (essential), with the ability to independently interrogate complex datasets
Experience working with cloud data warehouses (e.g. Snowflake or similar)
Strong understanding of GA4, 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
What we offer:
Everyone receives 33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays)
You also have the option to buy or sell up to an additional five days of annual leave
All colleagues eligible for up to £3,600 of free shares each year after one year of service