Product Finance Analyst

Job Description

Strategic Finance Analyst | Snowflake

The Tone:
This is a full-time role at Snowflake, located in the United States. Snowflake is powering the era of the agentic enterprise, reinventing how work gets done across various functions. This Strategic Finance Analyst role offers a unique vantage point at the intersection of product strategy and financial analysis, enabling you to directly influence how the business scales. It is a critical opportunity to contribute to redefining the future of work by utilizing AI as a high-trust collaborator.

The TL;DR
• Role: Early Career
• Type: Full-time
• Location: United States
• Pay: $90000–$117600 yearly
• Team: Strategic Finance team, partnering with Product leaders to improve their understanding and decision-making for profitable business growth.
• Mission: To increase workload contribution margin dollars above the current forecast by serving as an objective, full-stack business partner.
• Tech Stack: SQL, Snowflake Intelligence, AI-assisted SQL

What You’ll Actually Do
• Financial Modeling & Forecasting: Contribute to building and maintaining financial models that track both revenue and cost drivers, enabling accurate forecasting and real-time visibility into workload contribution margins.
• Revenue, Margin & Pricing Strategy: Assist in analyzing historical and forward-looking trends for revenue, COGS, and margin to support actionable recommendations that influence pricing, packaging, and go-to-market strategies.
• Cross-functional Business Partnering: Collaborate with Engineering, Product Managers, and Sales to evaluate new product features or market opportunities, providing data-driven insights for business case development.
• Data Analysis & AI-Assisted Insights: Learn complex data structures and business drivers, developing proficiency in SQL and using Snowflake Intelligence and AI-assisted tools to automate reporting and speed up insight discovery.
• Reporting & Cost Optimization: Translate data findings into automated, high-visibility dashboards for decision-making, and help identify abnormalities in infrastructure spend to maintain healthy margins and improve cost efficiency.

The Must-Haves
• Background: Bachelor’s Degree in Finance, Data Science, Computer Science, Economics, or a related field, with a strong academic foundation in quantitative analysis.
• Experience: 1–2 years of professional experience, including recent graduates. Relevant internships, capstone projects, or academic research in Finance, Consulting, or Data Analytics are valued.
• Skills:
• Analytical Aptitude: Demonstrated ability to work with quantitative and qualitative data through coursework, projects, or internships.
• Technical Agility: High aptitude for navigating technical systems and data structures, with the ability to quickly become proficient in understanding complex schemas and data logic.
• Business Analysis Concepts: Familiarity with concepts like revenue, COGS, and margin analysis from work experience, coursework, case competitions, or internships.
• Problem-Solving: Adeptness at working through ambiguity and taking initiative to anticipate next steps, coordinate with others, and push projects forward.
• Communication: Ability to translate complex data into clear, succinct takeaways and present findings to peers and senior stakeholders.
• Bonus: Exposure to SaaS, Cloud, Data, or Fintech environments, or experience with Salesforce or other business systems.