What You'll Do
- 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).
What You'll Need
- 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.)
