Data Analyst, Growth Product

Chime Chime · Fintech · San Francisco, CA · Data Analytics

Growth Product Analyst at Chime, a fintech company, partnering with Growth Product and Engineering teams to drive impact across the member journey. Responsibilities include owning funnels, designing/analyzing A/B tests, translating business questions into recommendations, using advanced statistical methods for causal inference and forecasting, and occasionally applying machine learning for segmentation. Requires 3-5 years of experience, expert SQL, Python proficiency, A/B testing expertise, and strong communication skills.

What you'd actually do

  1. Partner with Product Managers, Engineers, Designers, and Marketers on growth initiatives spanning acquisition, onboarding, activation, and retention
  2. Design, run, and analyze A/B tests to improve member product experiences, including metric creation, experiment design, power analysis, and analysis of experiment results.; develop frameworks to prioritize the highest-leverage experiments
  3. Drive data-informed decision making within Growth org by equipping PMs and engineers with self-service analytics tools, and conducting ad hoc analyses and causal studies for the team.
  4. Use advanced statistical methods for causal inference, as well as time-series and other forecasting techniques, to solve product questions for the team. Occasionally apply machine learning methods for problems such as customer segmentation.
  5. Build and maintain dashboards, KPIs, and self-serve tooling that give the team a clear view of funnel health

Skills

Required

  • Expert-level SQL ability
  • proficiency in Python
  • Hands-on experience designing and analyzing A/B tests
  • solid grasp of statistical concepts (significance, power, sample size, common pitfalls)
  • Demonstrated experience acting as a trusted advisor to senior cross-functional partners
  • Strong bias toward proactive problem discovery
  • Strong business intuition and judgment
  • experience applying prioritization frameworks to your work
  • Strong written and verbal communication
  • Located within commuting distance from our downtown San Francisco headquarters, and able to work in-office with our team 4 days per week

Nice to have

  • FinTech a plus
  • Familiarity with building data pipelines using tools like dbt or Airflow
  • Familiarity with AI coding tools (such as Claude Code and Cursor)

What the JD emphasized

  • Occasionally apply machine learning methods for problems such as customer segmentation
  • Familiarity with AI coding tools (such as Claude Code and Cursor)