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Tech Stack
Tools & technologiesCloudSQL
About the role
Key responsibilities & impact- 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)
- Partner with Product, Engineering, and Design to shape product direction
- Operate autonomously and lead analytical strategy for the product area
- Ensure the product team has a robust analytical foundation
Requirements
What you’ll need- 4-6 years in product analytics, data science, or growth analytics with extensive product-team experience
- Proven track record influencing product roadmaps with evidence-based insights
- Experience in high-velocity experimentation environments (consumer apps, fintech, SaaS, marketplaces)
- Expert SQL
- Fluency with Snowflake or equivalent cloud data warehouses
- Strong experimental design and statistical analysis skills
- Competence with data visualization tools and dashboards (Looker, Metabase, etc.)
Benefits
Comp & perks- Remote-first approach
- Office hubs in Santa Monica, CA (HQ), Nairobi, Kenya, Mexico City, Mexico, Manila, the Philippines, and Bangalore, India