Global Incentive Compensation Analyst

Salesforce; United States; On-site; USD 110,000 - 140,000; Full time

Job summary

Salesforce is seeking a Senior Data Analyst for Global Incentive Compensation Analytics to generate deep insights and build predictive models that shape compensation design. This role focuses on data-driven decisions, sophisticated statistical methods, and partnering with GTM teams to align plans with strategic direction.

The ideal candidate thrives in a dynamic, data-driven environment, demonstrates curiosity, and can translate complex analyses into clear recommendations for decision-makers.

Qualifications

• 3+ years of experience in Data Science, Advanced Analytics, or highly technical quantitative analysis.
• Proficiency in Python (or R) for data manipulation, statistical analysis, and building scientific models.
• Advanced proficiency in SQL/Snowflake for complex query authoring, optimization, and troubleshooting.
• Experience in data visualization with Tableau or a similar tool.
• Strong communication and storytelling to translate complex data into actionable insights.

Responsibilities

• Advanced Modeling & Simulation: Build and deploy scientific and predictive models using Python to simulate the financial and behavioral impacts of proposed compensation plan changes.
• Deep-Dive Analytics: Go beyond standard reporting to uncover hidden trends and evaluate ROI of various Incentive Compensation programs.
• Data Pipeline & Automation: Extract, manipulate, and transform large datasets using SQL and Python to automate insight generation.
• Strategic Partnership: Serve as the analytics partner for GTM organizations, translating models into recommendations to evaluate compensation changes.
• Forecasting: Develop predictive algorithms that forecast GTM performance and commission payouts.
• Pay-for-Performance Framework: Design and build a framework to evaluate payout rates and compensation structures across roles and tiers.

Skills

Python

SQL

Statistical analysis

Data manipulation

Storytelling

Education

Bachelor's or Master's in a quantitative field

Tools

Tableau

Snowflake

Job description

Job Category

Finance

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Job Description

About Salesforce: We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good- you've come to the right place.

Position Description

The Global Incentive Compensation (GIC) team at Salesforce is a global leader for sales compensation in the technology industry. We manage the sales compensation for all Salesforce, end-to-end - from designing the sales compensation plan to enable the company's go-to-market strategy to administering the payment so that our sales teams get paid on time. We are currently hiring for an Senior Data Analyst, Global Incentive Compensation Analytics. This highly technical role will focus on generating deeper insights through sophisticated analysis and scientific modeling. You will support strategic compensation plan design decisions through data-driven recommendations, leveraging advanced statistical methods to assess the effectiveness of our existing programs. You will partner closely with stakeholders across the business to determine how best to align our plans with Salesforce's strategic direction. The ideal candidate is comfortable working in a dynamic, data-driven environment, demonstrates natural curiosity, and is capable of building models that influence decision-makers.

Responsibilities

• 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.

Qualifications

• 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.
• Industry Kn