Sr Finance Analyst, Product & GTM

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We are looking for a <strong>Senior Finance Analyst</strong> 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.<br><br>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.<br><br>What You’ll Be Doing<br><br><ul><li>Serve as a strategic partner from Finance to Product, Engineering, and GTM functions, bringing analytical backing to support business decisions.</li><li>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.</li><li>Track and analyze KPIs across both Product and GTM to drive improvement across the business.</li><li>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.</li><li>Collaborate closely with Accounting to ensure accuracy in revenue recognition, commissions, and expense allocation</li><li>Synthesize financial results and KPIs for executive and board reporting<br><br></li></ul>What You Bring Along<br><br><ul><li>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.</li><li>Intrinsic motivation to take on challenging problems and a bias toward action.</li><li>Strong data skills. SQL fluency is a must; Python experience is a strong plus.</li><li>Financial modeling capabilities in Excel and/or Google Sheets; able to build dynamic, driver-based models independently.</li><li>Comfort working with large datasets and translating analytical outputs into clear business insights.</li><li>Strong communication and presentation skills; ability to distill complexity for senior stakeholders.</li><li>Knowledge of accounting principles, with an understanding of how financial data flows through revenue recognition, commissions, and expense processes.</li><li>Familiarity with AI tools and a willingness to leverage them in day-to-day work.</li><li>Bachelor's degree in Data Science, Finance, Economics, Business, or a related quantitative field, or equivalent experience.</li><li>Proficiency with financial planning and BI tools.<br><br></li></ul><strong>Perks<br><br></strong><ul><li>Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.</li><li>Healthcare - Employer contributions towards your healthcare.</li><li>Equity in the company - Every new team member who joins our company receives stock options.</li><li>Time off - Flexible time off in the US, generous entitlement in other countries.</li><li>A USD$500 Home office setup if you’re a remote employee.</li><li>Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.<br><br></li></ul>Culture - We All Shape It<br><br>As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.<br><br>Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.<br><br>Equal Opportunity & Privacy<br><br>ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.<br><br>Please see here for our Privacy Statement.<br><br>Compensation Range: $135K - $190K<br><br>

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