Strategic Finance Analyst

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. ABOUT THE TEAM:We exist to improve Product leaders’ understanding and decision-making on how to profitably grow the business. Our North Star is to increase workload contribution margin dollars above the current forecast by serving as an objective, full-stack business partner. We do this by measuring key metrics, inferring actionable insights, catalyzing strategic decisions, and accelerating operational efficiency across Product, Engineering, and Sales. ABOUT THE ROLE:This is a high-visibility role that sits at the intersection of product strategy and financial analysis, giving you a unique vantage point to influence how we scale our business. We aren't looking for someone to just execute tasks and pull data; we need a partner who can navigate ambiguity, drive workstreams, and anticipate the next steps. This role is best for proactive problem-solvers with business intuition and a high level of curiosity. You will work on critical projects and collaborate with executives to turn complex data into decisive action. WHAT YOU WILL DO: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. 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. 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. 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. 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. Build Scalable Reporting & Tooling: Translate your data findings into automated, high-visibility dashboards that Product and Finance leaders rely on for decision making. The dashboards you build will be maintained by Snowflake’s business intelligence team. Optimize Cloud Spend & Infrastructure: While revenue is your focus, you’ll also identify and resolve abnormalities in infrastructure spend to maintain healthy margins. Provide recommendations to reduce COGS/OpEx and improve cost efficiency. WHAT YOU WILL NEED:Bachelor’s Degree: In Finance, Data Science, Computer Science, or a related field. 2–5 Years of Experience: Background in Finance, Investment Banking, Consulting, or Data Analytics. Experience in SaaS, Cloud, Data, or Fintech environments—especially partnering with Product, Engineering, and Sales—is strongly preferred. Strong Financial & Analytical Skills: Proven ability to build financial models, analyze qualitative and quanti