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ClickhouseClickhouseUnited States

Sr Finance Analyst, Product & GTM

Senior Finance Analyst partners with Product, Engineering, and GTM teams to model financial impacts, analyze KPIs, support forecasting, and drive data-driven decisions. Requires 3-6 years experience, SQL fluency, financial modeling, and bachelor's in quantitative field.

Salary not listed
Remote3+ YOEFinance & Accounting

About the role

What You’ll Be Doing

  • Serve as a strategic partner from Finance to Product, Engineering, and GTM functions, bringing analytical backing to support business decisions.
  • Model the financial impact of strategic initiatives across the business. Perform analysis to support investment decisions, new product launches, efficiency projects, pricing strategy, and go-to-market design.
  • Track and analyze KPIs across both Product and GTM to drive improvement across the business.
  • Support annual planning and monthly forecast and variance review cycles. Partner with Product, Engineering, and GTM leadership to accurately forecast the business, and measure performance against these forecasts.
  • Collaborate closely with Accounting to ensure accuracy in revenue recognition, commissions, and expense allocation
  • Synthesize financial results and KPIs for executive and board reporting

What You Bring Along

  • 3–6 years of experience in a data-heavy analytical role, FP&A, strategic finance, investment banking, or management consulting, ideally with exposure to SaaS or consumption-based business models.
  • Intrinsic motivation to take on challenging problems and a bias toward action.
  • Strong data skills. SQL fluency is a must; Python experience is a strong plus.
  • Financial modeling capabilities in Excel and/or Google Sheets; able to build dynamic, driver-based models independently.
  • Comfort working with large datasets and translating analytical outputs into clear business insights.
  • Strong communication and presentation skills; ability to distill complexity for senior stakeholders.
  • Knowledge of accounting principles, with an understanding of how financial data flows through revenue recognition, commissions, and expense processes.
  • Familiarity with AI tools and a willingness to leverage them in day-to-day work.
  • Bachelor's degree in Data Science, Finance, Economics, Business, or a related quantitative field, or equivalent experience.
  • Proficiency with financial planning and BI tools.

Compensation

Typical starting salary: $135,000—$175,000 USD (US); $150,000—$195,000 USD (US Premium Markets).

Skills

SQLPythonExcelGoogle SheetsFinancial ModelingBI ToolsFP&ARevenue RecognitionSaaS MetricsAI Tools

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