Senior Product Analyst

Advanced SQL proficiency, including writing complex, optimized queries with window functions, CTEs, and complex joins. Mastery of a modern data visualization tool (e.g., Count.io, Looker, Lightdash, or Metabase). Familiarity with event-based product analytics tools (e.g., Amplitude, Mixpanel, Heap). Strong understanding of front-end and mobile analytics tracking design and instrumentation. Deep knowledge of experimental design, including advising on A/B/n test setup, defining key metrics, and conducting statistical analysis. Strong understanding of statistical significance, confidence intervals, and hypothesis testing. Expertise in applying analytical frameworks such as funnel analysis, cohort analysis, user segmentation, and retention/churn analysis. Proven experience working alongside Data Engineers and Analytics Engineers, understanding their roles and how to partner effectively.

Lead the strategic analytical agenda for the Squad, shaping OKRs, prioritising high-value work, and challenging assumptions to ensure data-driven decision making. Proactively explore user behaviour and product performance to inform ideation, discovery, and roadmap direction. Translate complex behaviour and business questions into testable hypotheses and guide experimentation design, execution, and interpretation. Deliver clear, actionable insights through robust deep-dives, ad-hoc analysis, and ongoing product health reporting. Ensure data integrity by advising on tracking requirements, maintaining monitoring and alerting, and enabling early detection of behavioural or feature shifts. Champion a strong data culture by educating Squad members, advocating best-practice analytics, and sharing insights across the organisation.