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ZelloZelloAustin, TX

Product Data Analyst

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.
  • Flexible schedules and time off.
  • Sabbatical after every five years of service.

Skills

SQLPythonSnowflakeA/B TestingProduct Analyticsfunnel analysisretention analysiscohort analysisExperimentationAI Agentsomni

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