Business Value Scale Analyst

Stripe is a financial infrastructure platform for businesses seeking to increase the GDP of the internet. The Business Value Scale Analyst will focus on driving long-term growth and value creation for Stripe's largest users by developing financial models and tools that influence key business decisions.

Responsibilities:

• Financial model development and ownership: Design, build, QA, and maintain enterprise-grade value tools (ROI and TCO models, payback and NPV analyses, sensitivity and scenario models, competitive benchmarks)
• Automation and tooling: Engineer integrations between Stripe's internal data sources and value-delivery tooling to automate the generation of financial outputs, narratives, and sales artifacts at scale
• Code-driven workflows: Apply Python, SQL, and JavaScript to build and maintain data pipelines, automate model generation, and produce formatted outputs that GTM teams can deploy directly in customer conversations
• Assumptions governance: Build and maintain a documented, version-controlled assumptions library with sourced benchmarks, sign-off workflows, and audit trails, ensuring every model is defensible in a senior customer or board-level context
• Usage instrumentation: Instrument tools to track GTM adoption, depth of engagement, and output usage. Bring the same analytical rigor to measuring the program's own impact that you apply to the models themselves
• Scalable solutions: Create reusable templates and modules and build a library of repeatable solutions that accelerate value delivery across the organization
• Cross-functional partnership: Coordinate across various teams at Stripe to keep benchmarks current and credible, ensure broad scale adoption, and develop innovative solutions

Requirements:

• 2–4 years of professional experience in management consulting, strategy consulting, investment banking, corporate finance, strategic finance, or a fintech, SaaS, or technology role with financial exposure
• Strong business analysis and financial modeling skills (unit economics, ROI and TCO analysis, sensitivity and scenario modeling, NPV and payback calculations)
• Working coding experience applied to analytics, automation, or data workflows (Python, SQL, or JavaScript)
• Effective cross-functional communication and ability to translate between financial outcomes and technical products in simple terms
• Excellent attention to detail with a governance mindset as assumptions must be sourced, versioned, and defensible
• Experience building interactive tools or analytical models for broad use
• Experience with BI/visualization tools (Looker, Tableau, Mode) for building dashboards and adoption analytics
• Exposure to value consulting, deal pricing, or commercial strategy in a SaaS/enterprise technology environment
• Degree in Finance, Economics, Business, Engineering, Computer Science, or equivalent