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Senior Analyst - Global Incentive Compensation AnalyticsCentaur Labs • Bellevue, Washington, United States
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Senior Analyst - Global Incentive Compensation Analytics

Centaur Labs
  • US
    Bellevue, Washington, United States
  • US
    Bellevue, Washington, United States
Jetzt Bewerben

Über

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.
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. Track commission costs by developing robust predictive algorithms that forecast future GTM performance and commission payouts.
Pay‑for‑Performance Framework: Design and build a comprehensive framework to evaluate current payout rates and 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 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.
Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via the Accommodations Request Form.
Equal Opportunity Employment Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We assess employees or potential employees 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 recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.
Compensation In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. 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.
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  • Bellevue, Washington, United States

Sprachkenntnisse

  • English
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