Lead Data Analyst

Chime Chime · Fintech · San Francisco, CA · Finance

Lead Data Analyst at Chime, a fintech company, responsible for driving forecasting for key growth and revenue drivers, delivering insights, and owning end-to-end forecasting workstreams. The role involves building and maintaining forecasting models, running analyses, developing scenarios, and improving dashboards and tooling. Requires strong SQL, Python/R skills, and experience in forecasting or finance analytics.

What you'd actually do

  1. Own core forecasting workstreams for key business metrics (e.g., member growth, purchase volume, deposit volume), including in-year outlooks and contributions to longer-range forecasting.
  2. Build, maintain, and improve forecasting models that are accurate, transparent, and scalable; document assumptions and create repeatable processes.
  3. Run intramonth pacing, variance, and sensitivity analyses, identifying key drivers and surfacing risks/opportunities early.
  4. Develop scenarios and “what-if” analyses to support planning and real-time decision-making (e.g., upside/downside cases, impact of product or marketing changes).
  5. Partner cross-functionally to align inputs and assumptions, reconcile differences across reporting/forecasting views, and ensure a single source of truth where possible.

Skills

Required

  • 4–8 years of experience in forecasting, finance analytics, strategic finance, or a similar quantitative role
  • Demonstrated ability to own forecasting end-to-end and deliver decision-driving insights to senior stakeholders.
  • Strong modeling instincts
  • Excellent communication
  • Expert SQL skills
  • Proficiency in Python or R
  • High accountability, strong judgment, and comfort operating in ambiguity and fast-moving environments.

Nice to have

  • fintech/payments/consumer financial services is a plus

What the JD emphasized

  • forecasting
  • analytics
  • modeling
  • SQL
  • Python or R