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Senior Analyst - Global Incentive Compensation Analytics
- Bellevue, Washington, United States
- Bellevue, Washington, United States
Über
Position Description The Global Incentive Compensation (GIC) team is responsible for designing and administering sales compensation plans. This role focuses on generating deeper insights through sophisticated analysis and scientific modeling to support strategic compensation plan design decisions.
Responsibilities
Build and deploy scientific and predictive models using Python to simulate financial and behavioral impacts of proposed compensation plan changes.
Conduct deep-dive analytics to uncover hidden trends and evaluate ROI of incentive compensation programs.
Extract, manipulate, and transform large datasets using advanced SQL and Python to automate insight generation.
Serve as the technical analytics partner for GTM organizations, translating complex models into actionable business recommendations.
Develop predictive algorithms to forecast commission costs and future GTM performance.
Design and build a framework to evaluate current payout rates 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, structure data pipelines, perform advanced statistical analyses, validate assumptions, and produce reliable scientific models.
Communication & Storytelling: Ability to synthesize complex data and scientific methodologies into clear, consumable deliverables that influence decision‑making across diverse audiences.
Industry Knowledge: A general understanding of how a SaaS GTM engine functions is preferred.
CRM Knowledge: Familiarity with Salesforce products and/or CRM infrastructure is preferred.
Equal Opportunity Employment Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. Candidates will be evaluated based on 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.
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Sprachkenntnisse
- English
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