# Sr Finance Analyst, Product & GTM

**Company:** [Clickhouse](https://hotfix.jobs/companies/clickhouse)
**Location:** Remote
**Role:** Finance & Accounting
**Experience:** 3+ years
**Skills:** SQL, Python, Excel, Google Sheets, Financial Modeling, BI Tools, FP&A, Revenue Recognition, SaaS Metrics, AI Tools
**Posted:** 2026-04-10

> 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.

## Job Description

## 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).

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