Sr Finance Analyst, Product & GTM We are looking for a Senior Finance Analyst to join our team and serve as a strategic partner to Product, Engineering, and Go-to-Market organizations. This is a high-impact, cross-functional role which touches the full ClickHouse P&L. You will bring strong analytical skills and business acumen to drive data-driven financial decision making. Reporting to the Director of Product Finance, you will have visibility to the Executive team and play a meaningful role in shaping how ClickHouse thinks about growth, pricing, and resource allocation. 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.