The Product Data Analyst will guide product decisions through metrics, experimentation, funnel and cohort analysis, and actionable recommendations. The role requires advanced SQL, Python, end-to-end A/B testing experience, and the ability to leverage AI agents for efficient analytical workflows.
Salary not listed
HybridData Analytics
About the role
Responsibilities
Define product metrics, events, and success criteria with product managers, designers, and engineers.
Design and run A/B tests, including hypothesis development, power analysis, honest evaluation, and ship-or-kill recommendations.
Build funnel, retention, and cohort analyses for mobile and web data using SQL and Python on Snowflake.
Build and operate AI-agent workflows for routine data pulls, first-pass analysis, and write-ups; validate the output.
Maintain core product dashboards in Omni.
Translate analysis into clear, actionable recommendations.
Requirements
Experience owning A/B tests end to end and influencing product decisions with analysis.
Advanced SQL skills against a cloud data warehouse.
Python proficiency for analytical work.
Experience using AI agents to automate routine analysis while checking their results.
Ability to select appropriate analytical methods for different data and situations.
Ability to work with imperfect data, pressure-test analyses, and make recommendations.
Strong collaboration skills with product managers and designers.
Compensation and Benefits
Competitive pay.
Equity with significant upside.
Benefits designed to support healthy, well-balanced employees.
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