Senior Commercial Insights Analyst

About Definitive Healthcare:

At Definitive Healthcare (NASDAQ: DH), we’re passionate about turning data, analytics, and expertise into meaningful intelligence that helps our customers achieve success and shape the future of healthcare. We empower them to uncover the right markets, opportunities, and people—paving the way for smarter decisions and greater impact.

Headquartered just outside of Boston, Massachusetts, Definitive Healthcare operates across North America, Europe, and India, supporting a growing global client base of more than 2,400 customers since our founding in 2011.

We’re also a great place to work. In 2024 and 2025, we earned multiple workplace honors, including Built In’s 100 Best Places to Work in Boston (both years), a Stevie Bronze Award for Great Employers, and recognition as a Great Place to Work in India.

We foster a collaborative, inclusive culture where diverse perspectives drive innovation. Through programs like Definitive Cares and our employee-led affinity groups we strive to promote connection, education, and inclusion.

Our Revenue Operations team acts as the strategic bridge between Finance, Sales, and other go-to-market functions, ensuring alignment across forecasting, planning, and performance analysis. We are responsible for delivering accurate revenue projections, driving operational efficiency, and enabling data-driven decision-making across the organization.

We are seeking a highly analytical and technically skilled Senior Commercial Insights Analyst to support our go‑to‑market teams with predictive modeling, forecasting, and performance analytics. In this role, you will partner closely with Sales, Marketing, Customer Success, and Finance to build data models and forecasting frameworks — including pipeline conversion and win‑rate analysis — that drive revenue growth and operational efficiency.

This individual contributor role will report directly to the Senior Director, FP&A and play a key part in shaping our revenue strategy. The ideal candidate is detail‑oriented, analytically rigorous, and comfortable building statistical models in a fast‑paced, collaborative environment. A strong background in SQL, Tableau and/or Sigma is essential for building predictive dashboards, forecasting models, and enabling data accessibility across the organization.

• Design, build, and maintain predictive dashboards and reporting in Salesforce, Tableau and/or Sigma to track pipeline health, forecast accuracy, win rates, and GTM performance
• Develop and refine forecasting models (e.g., pipeline‑weighted forecasting, cohort‑based win‑rate analysis, sales velocity modeling) to improve prediction accuracy across the commercial funnel
• Analyze historical trends and build statistical models to identify drivers of win/loss rates, deal velocity, and conversion at each funnel stage
• Conduct scenario modeling and sensitivity analysis to support forecasting under varying market and pipeline conditions
• Partner with Marketing Operations to build attribution models and analyze campaign‑to‑pipeline‑to‑revenue conversion
• Serve as a strategic advisor to GTM leadership, translating complex quantitative models into clear, actionable recommendations
• Partner with Finance on annual planning, budgeting, and revenue modeling, incorporating predictive analytics into long‑range forecasts
• Build and maintain SQL‑based data pipelines to support dashboard automation and self‑service reporting
• Communicate analytical methodology and findings to both technical and non‑technical stakeholders, and drive adoption of data‑informed decision‑making

• 4+ years of experience in Revenue Operations, Sales Operations, Business Intelligence, or a related analytics role, with direct experience in forecasting or predictive modeling
• Bachelor’s degree in a related field (Business, Finance, Economics, Analytics, Statistics, Information Systems, or similar)
• Advanced proficiency in SQL and Tableau and/or Sigma, including data modeling, dashboard automation, and performance optimization
• Experience building forecasting or predictive models (e.g., win‑rate modeling, pipeline conversion analysis,…