Partner with Product Managers and Engineers during roadmap and sprint planning to identify high-impact experimentation opportunities
Own the full experimentation lifecycle, including hypothesis framing, test design, instrumentation validation, analysis, and stakeholder communication
Analyze user funnels and retention metrics to identify drop-offs, engagement drivers, and long-term user behavior patterns
Build and maintain dashboards and reporting frameworks to provide visibility into product performance
Investigate anomalies and unexpected changes in metrics, identifying root causes and communicating findings effectively
Conduct ad hoc deep-dive analyses to support product decisions and strategic initiatives
Work directly with event-level product data to uncover insights beyond standard dashboards
Contribute to improving data quality, tracking, and analytical best practices across the team

4+ years of experience in product analytics, preferably in high-growth or consumer-facing environments
Strong SQL skills, with experience working on large and complex datasets (Snowflake is a plus)
Hands-on experience designing and analyzing A/B tests end-to-end, including hypothesis definition, metric design, and statistical analysis
Experience working with product event data, including event tracking, instrumentation, and validation
Familiarity with analytics tools such as Amplitude, Harness, or similar platforms
Strong understanding of product metrics such as funnels, retention, and user engagement
Excellent communication skills, with the ability to translate data into clear insights for technical and non-technical stakeholders
Strong ownership mindset, with the ability to independently drive analyses from ambiguous questions to actionable conclusions

Data Product Analyst

Key skills