Global Incentive Compensation Analyst
Salesforce · Posted Sep 29
Customer relationship management, cloud computing, enterprise software, and artificial intelligence solutions
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About the role
The Global Incentive Compensation (GIC) team at Salesforce manages sales compensation end-to-end, from designing sales compensation plans that enable the company's go-to-market strategy to administering payments so sales teams are paid on time. This highly technical role focuses on generating deeper insights through sophisticated analysis and scientific modeling to support strategic compensation plan design decisions. The analyst will build predictive models in Python, work with large datasets using advanced SQL, and partner with stakeholders across the business to align incentive plans with Salesforce's strategic direction.
What you will do
- Advanced Modeling & Simulation: Build and deploy scientific and predictive models using Python to simulate the financial and behavioral impacts of proposed compensation plan changes, providing analytics and data-backed business cases during the annual company GTM planning cycle.
- Deep-Dive Analytics: Go beyond standard reporting to uncover hidden trends, performing sophisticated statistical analyses to evaluate the true effectiveness and ROI of various Incentive Compensation programs.
- Data Pipeline & Automation: Extract, manipulate, and transform large datasets using advanced SQL and Python to automate deep insight generation, moving away from manual Excel-based processes.
- Strategic Partnership: Serve as the dedicated technical analytics partner for aligned GTM organizations, translating complex scientific models into actionable business recommendations to evaluate the impact of compensation plan changes. Forecasting: Track commission costs by developing robust predictive algorithms that forecast future GTM performance and commission payouts.
- Pay-for-Performance Framework: against quota attainment, utilizing advanced data modeling to optimize commission multipliers and strategically alignDesign and build a comprehensive framework to evaluate current payout rates
- compensation structures across various roles and performance tiers.
Skills used in this role
What the employer is looking for
- Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related highly quantitative field.
- Experience: 3+ years of related experience in Data Science, Advanced Analytics, or highly technical quantitative analysis.
- Advanced Programming: Proficiency in Python (or R) for data manipulation, statistical analysis, and building scientific models.
- SQL/Snowflake: Advanced proficiency in SQL/Snowflake, including complex query authoring, optimization, and troubleshooting.
- Data Visualization: Proficiency in building sophisticated, automated dashboards in Tableau or a similar tool.
- Analytical Problem Solving: Ability to independently address complex analytical requests: understand the ask, structure the data pipeline, perform advanced statistical analyses, validate assumptions, and output reliable scientific models.
- Communication & Storytelling: Ability to synthesize complex data and scientific methodologies into simple, consumable deliverables with clear takeaways, influencing decision making and justifying recommendations across diverse audiences.
Preferred qualifications
- Industry Knowledge: A general understanding of how a SaaS GTM engine functions is preferred.
- CRM: Knowledge of Salesforce products and/or CRM infrastructure preferred
Benefits and support
- time off programs
- medical, dental, vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
- incentive compensation
- equity
About Salesforce
Salesforce, Inc. is a leading global cloud-based enterprise software company specializing in customer relationship management (CRM) and artificial intelligence solutions. Through its integrated Customer 360 platform, the company provides applications for sales, customer service, marketing automation, e-commerce, and analytics. Powered by innovations like Agentforce, Salesforce helps businesses bridge human capability with autonomous AI agents to drive customer success.
- Industry
- Cloud Computing
- Company size
- 87000+ employees
- Founded
- 1999
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25B raised
- 2026-03Post-IPO Debt$25B
- 2003-01Venture Round$1M
- 2001-06Series D$46.9M
- 1999-11Series C$13.2M
- 1999-06Series B$3.8M
Leadership
Chair, Chief Executive Officer & Co-Founder
President & Chief Operating and Financial Officer
Co-Founder & Chief Technology Officer, Slack
President & Chief Strategy Officer
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