Chime Financial, Inc - Lead Data Analyst
Requirements
• 4–8 years of experience in forecasting, finance analytics, strategic finance, or a similar quantitative role (fintech/payments/consumer financial services is a plus). • Demonstrated ability to own forecasting end-to-end and deliver decision-driving insights to senior stakeholders. • Strong modeling instincts: comfortable living in the details (assumptions, drivers, sensitivities) while keeping the business story straight. • Excellent communication: able to translate analytical output into crisp narratives, tradeoffs, and recommendations for technical and non-technical audiences. • Expert SQL skills - able to translate business questions into robust queries, understand edge cases, and explore a warehouse efficiently to find the right data. • Proficiency in Python or R - writes reproducible, well-structured code with a tendency toward automation and scalable analysis. • High accountability, strong judgment, and comfort operating in ambiguity and fast-moving environments. • #LI-Hybrid #LI-BE1
Responsibilities
• 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. • Build, maintain, and improve forecasting models that are accurate, transparent, and scalable; document assumptions and create repeatable processes. • Run intramonth pacing, variance, and sensitivity analyses, identifying key drivers and surfacing risks/opportunities early. • 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). • Partner cross-functionally to align inputs and assumptions, reconcile differences across reporting/forecasting views, and ensure a single source of truth where possible. • Own unit economics and profitability analytics, including LTV/CAC, ROI analysis, and framework development for evaluating product and growth initiatives. • Improve dashboards and forecasting tooling (spreadsheets, Looker/Pigment or similar) to increase visibility, consistency, and speed of insight. • 4–8 years of experience in forecasting, finance analytics, strategic finance, or a similar quantitative role (fintech/payments/consumer financial services is a plus). • Demonstrated ability to own forecasting end-to-end and deliver decision-driving insights to senior stakeholders. • Strong modeling instincts: comfortable living in the details (assumptions, drivers, sensitivities) while keeping the business story straight. • Excellent communication: able to translate analytical output into crisp narratives, tradeoffs, and recommendations for technical and non-technical audiences. • Expert SQL skills - able to translate business questions into robust queries, understand edge cases, and explore a warehouse efficiently to find the right data. • Proficiency in Python or R - writes reproducible, well-structured code with a tendency toward automation and scalable analysis. • High accountability, strong judgment, and comfort operating in ambiguity and fast-moving environments. • #LI-Hybrid #LI-BE1
Benefits
• Salary range from $152,000 to up to $210,000 based on qualifications and experience. • Competitive equity package for full-time employees.
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