Sr Finance Analyst, Product & GTM
About the role
The Senior Finance Analyst will serve as a strategic partner from Finance to Product, Engineering, and GTM functions, bringing analytical backing to support business decisions. They will model the financial impact of strategic initiatives across the business, track and analyze KPIs, support annual planning and monthly forecast and variance review cycles, collaborate with Accounting, and synthesize financial results for executive and board reporting.
Responsibilities
- 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.
Requirements
- 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.
Qualifications
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.
Skills
- SQL
- Python (optional)
- Financial modeling
- Data analysis
- Communication and presentation skills
- Accounting principles
- AI tools
Benefits
- Flexible work environment
- Healthcare
- Equity in the company
- Time off
- $500 Home office setup for remote employees
- Global Gatherings
Pay
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.
Schedule
Remote-friendly. We currently operate in over 20 countries.
Company Information
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.
Equal Opportunity & Privacy
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.