Salesforce
Global Incentive Compensation Analyst
Indiana - Indianapolis · Office - Flexible · Full-time · Posted Oct 2, 2026
- Experience
- 3+ years of related experience in Data Science, Advanced Analytics, or highly technical quantitative analysis.
- Education
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related highly quantitative field.
About the job
Builds analytical models and insights to evaluate and forecast sales incentive compensation, supporting plan design and business decisions.
What you'll do
- Build predictive and scientific models to simulate compensation plan changes and forecast commission costs and payouts.
- Analyze incentive compensation program effectiveness and ROI, and automate data analysis using SQL and Python.
- Partner with GTM stakeholders to turn model results into recommendations and develop a pay-for-performance framework.
What they ask for
- Bachelor's or Master's degree in a quantitative field.
- 3+ years of related experience in Data Science, Advanced Analytics, or highly technical quantitative analysis.
- Proficiency in Python (or R), advanced SQL/Snowflake, and Tableau or a similar visualization tool.
- Ability to conduct advanced statistical analysis, build reliable models, and communicate findings to diverse audiences.
Nice to have
- General understanding of how a SaaS GTM engine functions.
- Knowledge of Salesforce products and/or CRM infrastructure.
Tools
Python, R, SQL, Snowflake, Tableau, Excel
AI focus
The role builds scientific and predictive models for compensation analysis. Salesforce also states that AI tools help recruiters assess and evaluate candidates’ resumes and qualifications; humans make hiring decisions.
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