Sr Finance Analyst, Product & GTM
ClickHouseUnited StatesPosted 11 April 2026
Job Description
About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
We’re on a mission to transform how companies use data. Come be a part of our journey!
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 PL. 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, FPA, 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.
The typical starting salary for this role in the US is
$135,000
$175,000 USD
The typical starting salary for this role in US Premium Markets is
$15,000
$195,000 USD
Compensation
For roles based in the United States , t he typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.
These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, a ... (truncated, view full listing at source)
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