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Описание вакансии
Текст:
TL;DR
Finance Business Partner (SaaS): Driving product strategy and financial analysis to optimize workload contribution margins with an accent on financial modeling, revenue analysis, and cross-functional collaboration. Focus on leveraging AI tools to automate reporting, identifying cost efficiencies, and translating complex data into actionable insights for leadership.
Location: Bellevue, WA, USA
Compensation: $110,000 – $143,800 per year
Company
Snowflake is a leading cloud data platform provider powering the era of the agentic enterprise through AI-native innovation.
What you will do
- Develop and maintain financial models to track revenue and cost drivers for workload contribution margins.
- Analyze historical and forward-looking trends for revenue, COGS, and margin to influence pricing and GTM strategies.
- Partner with Product, Engineering, and Sales teams to evaluate new features and market opportunities.
- Leverage AI tools and SQL to automate reporting and accelerate strategic insight discovery.
- Build scalable dashboards to provide high-visibility data for leadership decision-making.
- Identify and resolve infrastructure spend abnormalities to improve overall cost efficiency.
Requirements
- Bachelor’s degree in Finance, Data Science, Computer Science, or a related field.
- 2–5 years of experience in Finance, Investment Banking, Consulting, or Data Analytics.
- Proven ability to build financial models and analyze complex quantitative and qualitative data.
- Strong aptitude for technical systems and data structures, with a willingness to master SQL.
- Experience analyzing revenue, COGS, and margin trends in SaaS, Cloud, or Fintech environments.
- Exceptional communication skills with the ability to present complex data to VP/C-level leadership.
Culture & Benefits
- Opportunity to work in a high-visibility role at the intersection of product strategy and finance.
- Emphasis on AI-native thinking and experimental mindset to reinvent workflows.
- Collaborative environment working directly with cross-functional executives.
- Focus on continuous improvement and data-driven decision-making.
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