Business Value Scale Analyst

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Business Value Consulting team focuses on driving long-term growth and value creation for Stripe's largest and most strategic users. The team quantifies the financial and strategic impact of Stripe's platform (from revenue optimization to operational efficiency) and translates that into the business cases that underpin Stripe's largest and most complex deals. We help drive meaningful business outcomes and accelerate decision-making through a consultative approach that aims to build investment confidence and elevate CxO conversations. The Business Value Scale Analyst joins at a moment when the BVC team is expanding its impact across Stripe’s broader GTM organization through systematic programs, financial modeling, thought leadership, and data-driven insights. Work product by the Business Value Scale Analyst will directly influence Stripe’s most consequential deals. What you'll do The Business Value Scale Analyst is a new role that requires intellectual curiosity, judgment, proactivity, analytical rigor, and strong communication skills. They partner closely with the broader team to design and operationalize programmatic tooling, economic frameworks, data-driven financial models, and user-facing presentations that deal teams will deploy in Stripe’s most complex and high-stakes customer conversations. 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 Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum 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 Preferred qualifications - 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

Minimum 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.

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.