Drive end-to-end analytical discovery: define questions, shape hypotheses, perform root-cause analysis, and identify second-order effects
Produce high-context, narrative-driven analysis that shapes product decisions—not just dashboards or metrics reporting
Design tracking plans and instrumentation schemas; 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)

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.)

Senior Product Analytics

Key skills