Senior Product Analytics

5-8 years in product analytics, data science, or growth analytics with extensive product-team experience. Proven track record influencing product roadmaps with evidence-based insights. Expert SQL; fluency with Snowflake or equivalent cloud data warehouses. Strong experimental design and statistical analysis skills. Familiarity with event-based instrumentation and telemetry platforms. Competence with data visualization tools and dashboards (Looker, Metabase, etc.).

Drive end-to-end analytical discovery, defining questions, shaping hypotheses, performing root-cause analysis, and identifying second-order effects. Produce high-context, narrative-driven analysis that shapes product decisions. Design tracking plans and instrumentation schemas and work with engineering to ensure correct implementation. Implement automated alerting and monitoring to surface health issues, funnel breaks, outliers, and behavior shifts in real time. Lead the design, execution, and interpretation of experiments (A/B tests, multivariate tests, staggered rollouts). Select and apply appropriate statistical techniques (frequentist/Bayesian, CUPED, time-series methods).