--- title: 'Corporate FP&A Analyst at Snowflake' canonical: 'https://feeny.ai/job/corporate-fp-a-analyst-snowflake-menlo-park-702pw0g0ynp9' type: 'job' last_seen: '2026-09-11' --- # Corporate FP&A Analyst at Snowflake - **Company:** [Snowflake](https://feeny.ai/companies/snowflake) - **Location:** Menlo Park, CA - **Compensation:** $76k–$100k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-08-26 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.ashbyhq.com/snowflake/a8b89b7f-4d2d-49ec-8e5c-6a8577fb8ae2 ## Job description 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 Strategic Finance is where Snowflake's biggest financial questions get answered: what an acquisition is worth, where the company lands over the long term, what our EPS looks like, and how much capital each entity needs. Our work doesn't end at the model — we translate what the numbers say into clear points of view that help the CFO and senior leadership act. ## ABOUT THE ROLE This is a high-visibility role spanning corporate development, long-term planning, and technical accounting — a combination that's rare for a single analyst seat. You will build serious financial models and provide real decision-driving support to the executive level. This role is best suited for candidates from investment banking, private equity, or FP&A who are ready to work across M&A diligence, forecasting, and EPS simultaneously. You will work closely with a Senior Manager who owns methodology and will teach it. ## WHAT YOU WILL DO Financial Storytelling Turn model output into a clear narrative for executive and board audiences — the headline, the key drivers, and the recommendation. Build exec summaries, ELT slides, and briefing memos where every number is defensible, and present your analysis directly to senior finance leadership. M&A Diligence and Deal Modeling Dive into target financials to understand unit economics, cost structure, and the operating model. Build acquisition models under the direction of the deal lead: standalone and pro forma projections, purchase price allocation, accretion/dilution, and sensitivity cases framed around what has to be true for the deal to work. Long-Term Planning and 3-Statement Forecasting Maintain and extend the total-company long-term model — full P&L, balance sheet, and cash flow — driven off bookings, revenue, headcount, and cost-per-head. Run scenarios and translate trade-offs into terms leadership can act on: growth versus margin, hiring pace versus operating leverage. SBC and EPS Modeling Run the monthly stock-based compensation forecast, including grant-level expense attribution, new-grant and refresh assumptions, and forfeitures by function and legal entity. Build quarterly and annual basic and diluted EPS forecasts using treasury stock method mechanics and share count roll-forward. Entity-Level Cash Flow and Capital Planning Build entity-level cash flow forecasts to size capital requirements and funding needs across international subsidiaries. Support Tax on transfer pricing analytics and convert entity-level detail into a plain funding recommendation: which entities need cash, how much, and when. ## WHAT YOU WILL NEED - 1–3 years of experience in investment banking, private equity, corporate development, transaction advisory, or corporate FP&A - Ability to build or work extensively in a 3-statement operating model, and explain how the balance sheet and cash flow tie - Familiarity with M&A modeling mechanics — accretion/dilution, purchase accounting, sources and uses - Advanced Excel with disciplined model structure and a bias toward auditability over cleverness - Strong written and verbal communication — able to take a complex analysis and land it in three sentences and one slide - Solid GAAP fundamentals with genuine interest in SBC (ASC 718) and EPS (ASC 260) - Bachelor's degree in Finance, Accounting, Economics, or a related field, or equivalent experience Bonus Points - Experience building materials for a CFO, board, or executive audience - SQL proficiency, or a clear appetite to learn — this team queries the data warehouse directly - Workday Adaptive Planning or a comparable EPM platform - Entity-level cash flow, capital adequacy, or transfer pricing exposure - Python for model automation Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: [careers.snowflake.com](http://careers.snowflake.com) ## About Snowflake ## Company Overview - **One-liner**: Snowflake provides an AI Data Cloud platform that enables enterprises to store, analyze, and securely share their data across multiple clouds and geographies. - **Entity Type**: Public (NYSE: SNOW) - **Headquarters**: Bozeman, Montana, United States - **Founded**: 2012 - **Founders**: Not explicitly listed in the provided search results (widely known co-founders include Benoit Dageville, Thierry Cruanes, Marcin Zukowski – not verified in these search results) ## Core Business - **Primary Industry**: Enterprise software, cloud data platform - **Target Customers**: B2B, including large enterprises (e.g., hundreds of the world’s largest companies), mid-market, and SMBs - **Mission**: “To Mobilize the World’s Data” (Glassdoor) and “empower every enterprise to achieve its full potential through data and AI” (Snowflake Careers page) ## Products & Services - **Snowflake AI Data Cloud**: A unified, multi-cloud platform that combines data warehousing, data lakes, data sharing, and AI/ML capabilities. Customers can discover, share, and analyze data while running analytic workloads across public clouds (AWS, Azure, GCP). - **Snowflake Marketplace**: A marketplace for discovering and accessing third‑party data sets and applications. - **Snowflake‑Powered Applications**: Platform for building and deploying data‑intensive applications. ## Market Standing - **Valuation/Market Cap**: Not directly provided in search results (as a public company, market cap fluctuates and is available on financial websites). - **Key Metric**: Annual Revenue – $1 to $5 billion (USD) per Glassdoor. - **Notable Investors/Partners**: Not explicitly mentioned in the search results (historically backed by Sequoia Capital, Dragoneer, etc. – not verified here). - **Growth Signals**: - Named #1 on the 2023 Fortune Future 50 List ([Fortune.com](https://fortune.com)) - Listed as a U.S. Best Large Place to Work by BuiltIn in 2024 - Recognized as one of the “20 Coolest Cloud Software Companies” by CRN in 2022 and 2024 - Headcount of 5,001–10,000 employees with 30 global locations; actively hiring - Revenue range $1B–$5B indicates strong scale ## Competitive Advantages - **Multi‑Cloud Flexibility**: Operates across AWS, Azure, and GCP, avoiding vendor lock‑in. - **Unified Data Experience**: One platform for data sharing, analytics, and AI, reducing silos. - **Separation of Compute and Storage**: Allows independent scaling and cost efficiency (not detailed in provided sources, but a known differentiator). - **Strong Ecosystem**: Data marketplace and extensive partner network. ## Strategic Focus - **AI & Data Innovation**: The company’s current emphasis is on making “enterprise AI easy, efficient, and trusted” and integrating AI capabilities into the Data Cloud. - **Global Expansion**: Active hiring across 30 locations indicates continued geographic growth. - **Customer‑Centric Development**: Focus on empowering enterprises to achieve “full potential through data and AI.” ## Why Work Here - **Culture**: Described as “driven by innovation, low egos, high bars, and collaboration” (Snowflake Careers page). Glassdoor rating of 3.9/5 overall (78% approve CEO). - **Work‑Life Balance**: Glassdoor rates Work/Life Balance at 3.7/5; many remote and hybrid roles available (see Indeed listings). - **Benefits**: “Benefits & Beyond” program includes competitive compensation, equity, career advancement programs, and commitment to pay equality and veteran hiring. - **Engineering Focus**: Hiring process includes 2–4 week timeline with technical interviews; the company values impactful, project‑based work for all roles, including interns. - **Recognition**: Named a Best Large Place to Work (BuiltIn 2024) and future‑focused by Fortune, signaling strong employer brand. ## Sources 1. [Snowflake Careers Overview](https://careers.snowflake.com/us/en) 2. [Life at Snowflake](https://careers.snowflake.com/us/en/snowflake-life) 3. [Snowflake on Glassdoor](https://www.glassdoor.com/Overview/Working-at-Snowflake-EI_IE928471.11,20.htm) 4. [Snowflake Hiring Process](https://careers.snowflake.com/us/en/gethired) 5. [Snowflake on Indeed](https://www.indeed.com/cmp/Snowflake-7f4a7fba) 6. [Snowflake Careers Portal (Ashby)](https://jobs.ashbyhq.com/snowflake) – provided by user ## Other roles at Snowflake - [Software Engineer](https://feeny.ai/job/software-engineer-snowflake-warsaw-rk93stde6gfz) — Warsaw, Poland - [Strategic Account Executive, Majors Acquisition](https://feeny.ai/job/strategic-account-executive-majors-acquisition-snowflake-texas-z28sj7wdvvq8) — Texas, United States - [Staff Technical Program Manager - Security](https://feeny.ai/job/staff-technical-program-manager-security-snowflake-menlo-park-wq8j55r9qq5p) — Menlo Park, CA - [Engineering Manager](https://feeny.ai/job/engineering-manager-snowflake-menlo-park-hcb2t29d5htr) — Menlo Park, CA - [Senior Manager, Technical Program Management - Security](https://feeny.ai/job/senior-manager-technical-program-management-security-snowflake-menlo-park-94cf3wxj9d56) — Menlo Park, CA - [Principal Software Engineer - Semantic Views](https://feeny.ai/job/principal-software-engineer-semantic-views-snowflake-menlo-park-rsztyc80kfn7) — Menlo Park, CA - [Solution Engineer](https://feeny.ai/job/solution-engineer-snowflake-colombia-3cf4hpmqq9ye) — Colombia - [Senior/Staff Software Engineer – LLM Inference & Reinforcement Learning Platform](https://feeny.ai/job/senior-staff-software-engineer-llm-inference-reinforcement-learning-platform-dwrjfex7daq2) — Bellevue, WA - [Services Solutions Manager](https://feeny.ai/job/services-solutions-manager-snowflake-united-kingdom-f5bh8de9z9m1) — United Kingdom - [Account Executive](https://feeny.ai/job/account-executive-snowflake-helsinki-wxb5sh46d89y) — Helsinki, Finland