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Описание вакансии
Текст:
TL;DR
Financial Analyst (AI): Building financial models, margin analyses, and automated dashboards to guide product strategy and profitable growth with an accent on revenue forecasting, COGS analysis, SQL-driven insights, and cloud cost optimization. Focus on analyzing complex business data, using Snowflake Intelligence and AISQL to accelerate reporting, and translating findings into decisions for Product, Engineering, Sales, and executive stakeholders.
Location: US-CA-Menlo Park; hybrid
Salary: $110,000–$143,800 per year
Company
Snowflake provides a data cloud platform and develops AI capabilities for enterprise analytics and decision-making.
What you will do
- Build and maintain financial models covering revenue, costs, forecasting, and workload contribution margins.
- Analyze revenue, COGS, margin, pricing, packaging, and go-to-market trends to develop actionable recommendations.
- Partner with Product Managers, Engineering, Sales, and executives on product features, market opportunities, and business cases.
- Use SQL to navigate complex schemas and identify the drivers behind business performance.
- Use Snowflake Intelligence and AISQL to automate reporting and accelerate insight discovery.
- Build dashboards and identify infrastructure-spend abnormalities and opportunities to improve cost efficiency.
Requirements
- 2–5 years of experience in Finance, Investment Banking, or Consulting.
- Bachelor’s degree in Finance, Economics, Data Science, or a related field.
- Strong financial modeling, analytical, revenue, COGS, and margin analysis skills.
- Ability to learn complex data structures and become proficient with SQL; experience with financial modeling tools or BI platforms is useful.
- Experience in SaaS, Cloud, Data, or Fintech environments and collaboration with Product, Engineering, or Sales is preferred.
- Strong ownership, problem-solving, communication, and presentation skills, including communication with VP and C-level stakeholders.
Culture & Benefits
- AI-native, experimental approach to improving how work is done.
- High-visibility work at the intersection of product strategy and financial analysis.
- Collaboration with cross-functional stakeholders and executives on critical business projects.
- Responsibility for protecting confidential customer and company data under Snowflake’s security standards.
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