Senior Data Analyst

Role overview

Product analysis and experimentation

• Partner with product managers and designers from discovery to launch to define feature and product-area success metrics.
• Design, analyze, and report A/B tests; establish standards for running and interpreting experiments.
• Build funnel, conversion, retention, and engagement analyses across the customer journey.
• Identify friction and growth opportunities and develop prioritized product recommendations.
• Define event-tracking requirements with engineering and ensure product data is accurate and complete.
• Build and maintain self-serve dashboards for product and feature health.
• Measure non-experimental launch impact with quasi-experimental methods.
• Participate in technical interviews and mentor junior analysts.

Required qualifications

• Bachelor's or master's degree in a quantitative field, such as statistics, mathematics, economics, computer science, or data science.
• At least 5 years of product analytics experience; a senior or lead role at a consumer app or marketplace is preferred.
• Strong SQL and Python or R proficiency, plus experience with visualization tools such as Tableau or Power BI.
• Hands-on A/B testing experience, including sample size, power, guardrail metrics, and interpretation.
• Experience defining product metrics and KPIs; analyzing funnels, retention, cohorts, and engagement; and working with mobile or web event and clickstream data.
• Ability to structure ambiguous questions, communicate findings and trade-offs, identify data errors, work independently, prioritize, meet deadlines, and collaborate cross-functionally.

Bonus experience

• Causal inference beyond A/B tests, such as difference-in-differences or synthetic control, is a bonus.
• Experience with Statsig, Optimizely, Eppo, Amplitude, Mixpanel, or event-tracking plans is a bonus.
• Marketplace, super-app, food or parcel delivery, transaction-level unit economics, dbt, or BigQuery experience is a bonus.

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