Partner with PMs and Engineers to identify high-impact experiments
Own the full experimentation lifecycle: hypothesis, design, validation, analysis
Analyze funnels and retention to identify drop-offs and engagement drivers
Build and maintain dashboards to track product performance
Investigate anomalies and root causes; communicate findings
Conduct ad hoc deep-dive analyses to inform decisions

🎯 Requirements

4+ years in product analytics (high-growth/consumer)
Strong SQL skills; experience with large/complex datasets; Snowflake a plus
Hands-on A/B testing: hypothesis, metrics, design, statistics
Experience with product event data: tracking, instrumentation, validation
Amplitude, Harness, or similar analytics tools
Knowledge of funnels, retention, and user engagement metrics
Excellent communication; translate data into actionable insights
Ownership mindset; drive analyses from questions to conclusions

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