Business Value Scale Analyst
Builds scalable financial models, automation, and analytical tooling for complex customer conversations. The role requires 2–4 years of finance, consulting, banking, or technology experience, strong modeling skills, and working knowledge of Python, SQL, or JavaScript.
About the job
Responsibilities
- Design, build, quality-assure, 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 internal data sources and value-delivery tooling to automate financial outputs, narratives, and sales artifacts at scale.
- Apply Python, SQL, and JavaScript to build and maintain data pipelines, automate model generation, and produce formatted outputs for go-to-market teams.
- Build and maintain a documented, version-controlled assumptions library with sourced benchmarks, sign-off workflows, and audit trails.
- Instrument tools to track go-to-market adoption, engagement depth, and output usage, and measure the program's impact.
- Create reusable templates, modules, and repeatable solutions to accelerate value delivery.
- Coordinate cross-functionally to keep benchmarks current and credible, 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 a fintech, SaaS, or technology role 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 applied to analytics, automation, or data workflows using Python, SQL, or JavaScript.
- Strong cross-functional communication skills and the ability to translate between financial outcomes and technical products.
- Excellent attention to detail and a governance mindset.
Nice-to-haves
- Experience building interactive tools or analytical models for broad use.
- Experience with BI and visualization tools such as Looker, Tableau, or Mode.
- Exposure to value consulting, deal pricing, or commercial strategy in a SaaS or enterprise technology environment.
- Degree in Finance, Economics, Business, Engineering, Computer Science, or equivalent.
Skills
Python, SQL, JavaScript, Financial Modeling, Unit Economics, ROI Analysis, Tco Analysis, Npv, Data Pipelines, Looker, Tableau, Mode
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