Chime Financial, Inc - Staff Data Analyst

• 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. • Define and evolve forecasting frameworks that improve accuracy, transparency, and consistency - standardizing templates, processes, and documentation across teams. • 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. • 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. • 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.Partner deeply across the company—work hand-in-hand with Finance and influence leaders across Marketing, Product, Operations & Member Experience, Risk, and Investor Relations to align assumptions, drive accountability, and accelerate decisions. • Scale insights and tooling—own development of dashboards, automation, and self-serve analytics (e.g., Looker/Tableau/Pigment, SQL/Python/R pipelines) that improve speed-to-insight and reduce manual effort. • Develop talent and raise the bar by managing, mentoring and coaching managers / analysts and setting best practices for modeling, communication, and stakeholder management. • 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. • #LI-Hybrid #LI-BE1