Product Workload Finance Analyst

Snowflake Snowflake · Data AI · WA-Bellevue, United States · Finance

This role is a Product Workload Finance Analyst at Snowflake, focusing on improving product leaders' understanding and decision-making for profitable business growth. The role involves developing financial models, analyzing revenue and margin trends, partnering with Product and Sales, and leveraging AI tools like Snowflake Intelligence and AISQL to automate reporting and accelerate insight discovery. The goal is to increase workload contribution margin dollars by serving as a business partner across Product, Engineering, and Sales.

What you'd actually do

  1. Develop & Maintain Financial Models: Build and iterate on financial models that track both revenue and cost drivers, enabling accurate forecasting and real-time visibility into workload contribution margins.
  2. Drive Revenue & Margin Insights: Analyze historical and forward-looking trends for revenue, COGS, and margin to provide actionable recommendations that influence pricing, packaging, and go-to-market strategies.
  3. Partner with PMs and Sales: Collaborate with Engineering, Product Managers and Sales to evaluate new product features or market opportunities. Support business case development by providing data-driven insights into revenue potential and profitability. Communicate complex technical or financial concepts in a succinct, easy-to-understand manner to stakeholders at all levels.
  4. Data-driven Insights (SQL): Find the "why" behind the numbers. You will go beyond the surface by mastering our complex data structures and business drivers. By learning to navigate our schemas and tables, you’ll be able to ensure that you deliver timely and accurate insights.
  5. Accelerate Insights with AI: Leverage Snowflake Intelligence and AISQL daily to automate manual reporting and speed up your insight discovery process. You will use our native AI features to streamline complex workflows, allowing you to focus less on manual data prep and more on driving strategic insights.

Skills

Required

  • 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.
  • Strong Financial & Analytical Skills: Proven ability to build financial models, analyze qualitative and quantitative data, and juggle competing priorities in a fast-paced environment.
  • Technical Agility (SQL preferred, but not required): High aptitude for navigating technical systems and data structures.
  • Revenue & Margin Analysis Experience: Experience analyzing revenue, COGS, and margin trends.
  • Ownership & Problem-Solving Mindset: Adept at working through ambiguity and taking initiative.
  • Exceptional Communication: Able to translate complex data into actionable insights for non-technical audiences.
  • Continuous Improvement Mentality

Nice to have

  • Experience in SaaS, Cloud, Data, or Fintech environments
  • partnering with Product, Engineering, and Sales
  • SQL proficiency
  • prior experience with coding languages
  • Familiarity with Salesforce or other GTM systems
  • Comfortable presenting to VP/C-level leadership

What the JD emphasized

  • navigate ambiguity
  • drive workstreams
  • anticipate the next steps
  • proactive problem-solvers
  • complex data structures
  • complex schemas and tables
  • complex technical or financial concepts
  • complex data into actionable insights
  • complex workflows