Senior Analyst - Global Incentive Compensation Analytics

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.
• 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
• 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 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.
• Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
• Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
• Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process.
• Humans will always make any candidate selection and hiring decisions.
• Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
• Posting 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
• 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.
• 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)
• an employee stock purchasing program.
• More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
• At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&#xa
• The typical base salary range for this position is $94,000 - $142,300 annually. &#xa
• The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.