Business Value Scale Analyst

🕒 August 5

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧐 Analyst

🚫👨‍🎓 No degree required

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Logo of Stripe

Stripe

1001 - 5000 employees

Founded 2010

💳 Fintech

🛍️ eCommerce

🤝 B2B

💰 Venture Round on 2021-05

Fintech • eCommerce • B2B

Stripe is a global payments processing platform that enables businesses to accept online and in-person payments. It offers a comprehensive suite of financial services, including payment processing, billing, and revenue management tools, aimed at businesses of all sizes, from startups to enterprises. By providing a developer-friendly API, Stripe allows businesses to streamline their payment operations and embed financial services directly into their applications, facilitating both B2B and B2C transactions.

📋 Description

• Design, build, QA, and maintain enterprise-grade value tools, including ROI and TCO models, payback and NPV analyses, sensitivity and scenario models, and competitive benchmarks • Engineer integrations between Stripe's internal data sources and value-delivery tooling to automate financial outputs, narratives, and sales artifacts at scale • Use Python, SQL, and JavaScript to build and maintain data pipelines, automate model generation, and produce formatted outputs for GTM teams • Build and maintain a documented, version-controlled assumptions library with sourced benchmarks, sign-off workflows, and audit trails • Instrument tools to track GTM adoption, engagement depth, and output usage, and measure program impact • Create reusable templates, modules, and repeatable solutions to accelerate value delivery across the organization • Coordinate across Stripe teams to maintain current and credible benchmarks, drive adoption, and develop innovative solutions

🎯 Requirements

• 2–4 years of professional experience in management consulting, strategy consulting, investment banking, corporate finance, strategic finance, or fintech, SaaS, or technology roles with financial exposure • Strong business analysis and financial modeling skills, including unit economics, ROI and TCO analysis, sensitivity and scenario modeling, NPV, and payback calculations • Working coding experience in analytics, automation, or data workflows using 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 and a governance mindset; assumptions must be sourced, versioned, and defensible

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