UK remote
Senior Product Analyst (f/m/d)
About this role
Purpose of Position We are looking for a Senior Product Analyst to help our product teams make better decisions by bringing quantitative evidence into discovery, prioritisation, experimentation and delivery. Sitting within our Product & Tech organisation, you'll work closely with Product Managers, Designers, Researchers and Engineers to ensure decisions are grounded in evidence. You’ll connect behavioural product data with qualitative research and commercial insight to help teams identify opportunities, understand customer behaviour and measure whether our products are creating the intended outcomes.
This is a hands-on product analytics role focused on understanding customer behaviour and turning quantitative evidence into actionable product insight. You will also connect product analytics with relevant commercial and operational data where this helps teams understand the wider impact of their decisions. Our team is a bunch of lovely, smart, and dedicated humans. And we offer some great benefits too! What you’ll be responsible for Act as the analytics partner across our cross-functional product teams, using data and insights to shape product strategy and drive measurable outcomes.
Helping teams turn strategic goals, customer problems and product hypotheses into clear questions, measurable outcomes and meaningful success metrics. Analysing customer journeys, funnels, conversion, activation, feature adoption, engagement, retention and customer segments. Using product and business data to identify behavioural patterns, friction points and opportunities for improvement or growth. Supporting prioritisation by establishing baselines, sizing opportunities and explaining the potential customer and business impact.
Using Amplitude to explore customer behaviour, create cohorts and build clear, reusable dashboards. Improving how Awin uses Amplitude through consistent metric definitions, event taxonomies, dashboard templates and documentation. Working with Product and Engineering to define tracking requirements, address implementation gaps and ensure data is captured accurately. Helping teams design and evaluate product experiments by defining hypotheses, primary and guardrail metrics and suitable methods for interpreting results.