Analyzes go-to-market performance and finances by combining SQL-based data work with financial modeling, forecasting, and SaaS unit economics. The role partners across Sales, Marketing, Customer Success, and Revenue Operations to guide planning, investment, and reporting decisions.
110k – 140k/yr
Remote4+ YOERevenue Operations
About the role
Responsibilities
Own Sales, Marketing, and Customer Success annual and long-term planning across revenue, staffing, and resourcing.
Partner with Sales, Marketing, Customer Success, and Analytics to align go-to-market spending and targets with the financial plan.
Model ongoing go-to-market investment decisions.
Build and maintain models for CAC, LTV, payback, sales and Customer Success capacity, and productivity.
Recommend where go-to-market spending should be allocated.
Query the data warehouse directly to build datasets, validate numbers, and answer questions combining financial and operational data.
Automate recurring go-to-market reporting to accelerate data-driven decisions.
Requirements
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, including pipeline, bookings, ARR, CAC, LTV, payback, and sales efficiency.
Expert SQL skills and experience working directly in a data warehouse to build and validate datasets.
Advanced Excel skills and strong financial modeling, budgeting, and forecasting experience.
Bachelor's degree in Finance, Accounting, Economics, Statistics, or a related quantitative field.
Excellent analytical, problem-solving, and communication skills.
Preferred Attributes
Comfortable moving between SQL queries and financial models.
Curiosity about go-to-market functions and how sales and marketing drive growth.
Execution-oriented, with strong ownership of accuracy and deadlines.
Interest in using AI to automate and improve analytical work.
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