Staff Data Analyst

Chime Chime · Fintech · San Francisco, CA · Finance

Staff Data Analyst role at Chime, a fintech company, focusing on leading forecasting and performance insights for core growth and revenue drivers. Responsibilities include setting strategy for forecasting key metrics, driving scenario planning, and elevating performance measurement and unit economics. This role partners with Finance, Strategy, Analytics, and Product teams to inform high-impact decisions and ensure scalable forecasting capabilities.

What you'd actually do

  1. Own end-to-end forecasting strategy and operating rhythm for core business and financial drivers, including in-year outlooks, long-range planning inputs, and assumption governance.
  2. Define and evolve forecasting frameworks that improve accuracy, transparency, and consistency - standardizing templates, processes, and documentation across teams.
  3. Drive scenario planning and investment tradeoff discussions with senior leaders (e.g., “Where should we invest for the highest impact, and what are the expected outcomes and risks?”), including sensitivities and decision-ready recommendations.
  4. Create performance narratives for key KPIs and unit economics, ensuring leaders have clear, consistent readouts on what’s changing, why it’s changing, and what actions are required.
  5. Be the arbiter of truth for forecasting and performance measurement, aligning stakeholders on metric definitions, reconciling differences across sources, and raising the bar on analytical rigor and clarity.

Skills

Required

  • strategic finance
  • forecasting/FP&A
  • finance analytics
  • financial metrics
  • unit economics
  • performance measurement
  • modeling
  • analytical skills
  • SQL
  • spreadsheet modeling
  • communication
  • stakeholder leadership

Nice to have

  • fintech/payments/consumer financial services
  • Python
  • R
  • automation

What the JD emphasized

  • 8–10 years in strategic finance, forecasting/FP&A, finance analytics, or a similarly analytical finance role (fintech/payments/consumer financial services strongly preferred).
  • Track record of leading complex forecasting and planning workstreams and influencing senior leaders through structured tradeoffs and decision-ready narratives.
  • Deep fluency in financial metrics, unit economics, and performance measurement, including how investors evaluate business performance.
  • Strong modeling and analytical skills; able to connect operational drivers to financial outcomes and communicate uncertainty appropriately.
  • Advanced SQL and spreadsheet modeling; Python or R proficiency for reproducible analysis and automation strongly preferred.
  • Exceptional communication and stakeholder leadership—able to align cross-functional teams, resolve ambiguity, and drive decisions without relying on authority.
  • Strong ownership and pace; comfortable operating in a high-growth environment and continuously improving systems and processes.