Senior Commercial Insights Analyst
About The Position
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.
Requirements
- 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, regression-based forecasting) in a SaaS or subscription-revenue environment
- Hands-on experience with CRM systems (e.g., Salesforce) and GTM tools (e.g., HubSpot, Salesloft, Gong)
- Familiarity with statistical concepts (e.g., regression analysis, cohort analysis, confidence intervals) as applied to commercial forecasting
- Ability to thrive in a rapidly changing startup environment, handling multiple projects with flexibility and a positive attitude
- Excellent written and verbal communication skills, with the ability to translate technical analysis for cross-functional stakeholders
Responsibilities
- 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
Benefits
- medical
- dental
- vision coverage
- unlimited paid time off
- participation in the company’s 401(k) plan with employer contribution
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What This Job Offers
Job Type
Full-time
Career Level
Senior
