Jobs · Finance · Washington

Strategic Finance Analyst II

Snowflake · Bellevue, WA · 3 wk ago
Finance$110k–$144k/yrFull-time

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.

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.

  • 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.

  • 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.

  • 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.

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.

Qualifications

  • Experience in SaaS, Cloud, Data, or Fintech environments—especially partnering with Product, Engineering, and Sales—is strongly preferred.
  • Proven ability to build financial models, analyze qualitative and quantitative data, and juggle competing priorities in a fast-paced environment.
  • 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.
  • Familiarity with Salesforce or other GTM systems to reason about historical and forward-looking trends is highly beneficial.
  • Adept at working through ambiguity and taking initiative. Anticipate next steps, coordinates with stakeholders, and push projects forward.
  • Able to translate complex data into actionable insights for non-technical audiences. Comfortable presenting to VP/C-level leadership.
  • Always looking for ways to optimize. The first version of your work is never your last—you believe there’s always a better way.

Skills

  • Financial Modeling
  • Revenue & Margin Analysis
  • Data Visualization
  • SQL
  • AI & Machine Learning
  • Collaboration with Product Managers and Sales
  • Communication Skills

Benefits

  • Medical, Dental, Vision Insurance
  • 401(k) Retirement Plan
  • Flexible Spending & Health Savings Account
  • 12 Paid Holidays
  • Paid Time Off
  • Parental Leave
  • Employee Assistance Program
  • Other Company Benefits

Pay

The estimated base salary range for this role is $110,000 - $143,800. Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Schedule

Full-time

Location

Remote

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