Senior Strategic Finance Analyst (Product Finance)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Strategic Finance Analyst (Product Finance): Developing and operating financial models to guide product and revenue decisions with an accent on unit economics, pricing models, and workload P&Ls. Focus on translating product usage and customer behavior into data-driven recommendations for senior leadership.
Location: Hybrid in Menlo Park, CA (Strict: requires in-person attendance at least 3 days per week)
Salary: $133,000 – $174,300
Company
Snowflake is a cloud data platform powering the era of the agentic enterprise.
What you will do
- Build and maintain driver-based revenue models, workload P&Ls, and pricing models to anchor planning decisions.
- Manage monthly and quarterly forecast cycles, including plan vs. actual attribution and variance breakdowns.
- Translate product usage, customer behavior, and financial data into actionable insights for product partners.
- Conduct pricing and monetization analysis, including willingness-to-pay benchmarks and competitive research.
- Create financial models and analytical scaffolding for major product and go-to-market investment business cases.
- Develop automated dashboards, reports, and reusable model templates to streamline recurring analytical work.
Requirements
- 4+ years of experience in strategic finance, product finance, investment banking, or management consulting.
- Must be based in or able to work from Menlo Park, CA (Hybrid).
- Expert-level financial modeling skills, including P&L views, cohort/funnel analysis, and unit economics.
- SQL fluency for querying large product analytics datasets in a cloud data platform.
- Bachelor's degree in Finance, Economics, Computer Science, Engineering, or a related discipline.
- Ability to produce executive-quality narratives and communicate complex quantitative analysis to senior leadership.
Nice to have
- Hands-on product economics experience at a high-growth cloud, AI, or SaaS company.
- Familiarity with consumption-based and usage-based pricing models.
- Python proficiency for data analysis and experience with BI tools such as Tableau or Sigma.
- MBA or CFA designation (completed or in progress).
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