Product Workload Finance Analyst

Snowflake•Menlo Park, CA

33d

About The Position

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.

Requirements

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 quantitative data, and juggle competing priorities in a fast-paced environment.
Technical Agility (SQL preferred, but not required): You have a high aptitude for navigating technical systems and data structures. While you don’t need to be a SQL expert on day one, you possess the ability to quickly become proficient in understanding complex schemas and data logic. Any prior experience with coding languages is a significant plus.
Revenue & Margin Analysis Experience: Experience analyzing revenue, COGS, and margin trends. Familiarity with Salesforce or other GTM systems to reason about historical and forward-looking trends is highly beneficial.
Ownership & Problem-Solving Mindset: Adept at working through ambiguity and taking initiative. Anticipate next steps, coordinates with stakeholders, and push projects forward.
Exceptional Communication: Able to translate complex data into actionable insights for non-technical audiences. Comfortable presenting to VP/C-level leadership.
Continuous Improvement Mentality: You’re always looking for ways to optimize. The first version of your work is never your last—you believe there’s always a better way.

Responsibilities

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.