Global Incentive Compensation Analyst

Salesforce, Inc.; Indianapolis (IN); Hybrid; USD 90,000 - 140,000; Full time

Benefits offered by this job

401(k)

Health insurance

Job summary

Salesforce.com, inc. is seeking a Senior Data Analyst for Global Incentive Compensation Analytics to design and implement data-driven models that influence compensation decisions.

You will work with cross-functional teams to simulate changes, assess ROI, and automate insights using Python, SQL, and Tableau. The role blends rigorous analysis with strategic storytelling to forecast costs and support GTM planning, requiring strong collaboration with stakeholders and a passion for data-driven

Qualifications

• Bachelor's or Master's degree in a highly quantitative field such as Data Science, CS, Statistics, Mathematics, Economics.
• 3+ years in Data Science, Advanced Analytics, or technical quantitative analysis.
• Proficiency in Python (or R) for data manipulation and modeling.
• Advanced SQL/Snowflake skills for complex queries and optimization.
• Experience building automated dashboards in Tableau or similar tools.

Responsibilities

• Build and deploy scientific and predictive models to simulate compensation changes.
• Perform deep-dive analytics to evaluate ROI of incentive programs.
• Develop data pipelines in SQL and Python to automate insights.
• Partner with GTM teams to translate models into actionable recommendations.
• Forecast commission costs with predictive algorithms.

Skills

Python

SQL

Statistical analysis

Data Visualization

Storytelling

Communication

Education

Bachelor's or Master's in Data Science/Math/CS

Tools

Tableau

Snowflake

Excel

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 align. Design 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 Knowledge: A general understanding of how a SaaS GTM engine functions is preferred.


• CRM: Knowledge of Salesforce products and/or CRM infrastructure preferred.

Benefits

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

At Salesforce, we strive to create an accessible and inclusive experience for all candidates.

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodation Request Form.

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Equal Opportunity Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal . Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

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