Senior Financial Analyst, GTM

This role sits at the intersection of data and finance. You will be the analytical engine behind our go-to-market decisions, partnering with Sales, CS, Marketing, and Revenue Operations to forecast the business, model go-to-market efficiency, and turn data warehouse queries into insight that shapes where we invest. The ideal person has lived in both worlds, a data or analytics role and a finance or FP&A role, and moves comfortably between a SQL query and a financial model. This is a role for someone who likes hard problems, is genuinely curious about how Sales and CS drive growth, and wants their analysis to shape real decisions.

• GTM Planning and Reporting: Own the Sales, Marketing and CS annual and long term planning across revenue, staffing and resourcing.

• Cross-functional partnership: Work closely with Sales, Marketing, CS and Analytics to align go-to-market spend and targets with the financial plan, and to model ongoing investment decisions.

• Unit economics and GTM efficiency: Build and maintain models for CAC, LTV, payback, and sales and CS capacity and productivity, and use them to recommend where go-to-market spend should go.

• Data and SQL analysis: Query the data warehouse directly to build datasets, validate numbers, and answer questions that mix financial and operational data.

• Automation and efficiency: Automate recurring GTM reporting to speed the path from data to decision.

• 4+ years spanning both a data or analytics role and a finance or FP&A role, ideally at a high-growth SaaS or technology company.

• Hands-on experience with go-to-market or SaaS metrics: pipeline, bookings, ARR, CAC, LTV, payback, and sales efficiency.

• Expert in SQL, comfortable working directly in a data warehouse to build and validate datasets.

• Advanced Excel and strong financial modeling, budgeting, and forecasting.

• Bachelor's degree in Finance, Accounting, Economics, Statistics, or a related quantitative field.

• Excellent analytical, problem-solving, and communication skills.

• Fluent in both data and finance, comfortable moving between a SQL query and a financial model.

• Genuinely curious about go-to-market and how sales and marketing drive growth.

• Execution-oriented, with a strong sense of ownership over accuracy and deadlines.

• AI-forward, always looking for ways to automate and sharpen the work.