Senior Analyst - Global Incentive Compensation Analytics

About the role

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.

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: Utilize advanced data modeling to optimize commission multipliers and strategically align compensation structures across various roles and performance tiers.
• Evaluate current payout rates and compensation structures across different roles and performance tiers.

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related highly quantitative field.
• 3+ years of related 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, including complex query authoring, optimization, and troubleshooting.
• Proficiency in building sophisticated, automated dashboards in Tableau or a similar tool.
• 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.
• Ability to synthesize complex data and scientific methodologies into simple, consumable deliverables with clear takeaways, influencing decision making and justifying recommendations across diverse audiences.
• A general understanding of how a SaaS GTM engine functions is preferred.
• Knowledge of Salesforce products and/or CRM infrastructure preferred.

Qualifications

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.

Skills

• 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.

Benefits

At Salesforce, we offer 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.

Pay

The typical base salary range for this position is $94,000 - $142,300 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Schedule

Full-time position.