Senior Analyst - Global Incentive Compensation Analytics100 Salesforce, Inc. • Bellevue, Washington, United States

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Senior Analyst - Global Incentive Compensation Analytics

100 Salesforce, Inc.

Bellevue, Washington, United States

Bellevue, Washington, United States

Jetzt Bewerben

Über

Position Overview Senior Data Analyst, Global Incentive Compensation Analytics. The Global Incentive Compensation (GIC) team manages sales compensation for Salesforce, from designing plans to administering payments. Responsibilities Advanced Modeling & Simulation: Build and deploy predictive models in Python to simulate the financial and behavioral impacts of proposed compensation plan changes. Deep‑Dive Analytics: Perform sophisticated statistical analyses to evaluate the effectiveness and ROI of incentive compensation programs. Data Pipeline & Automation: Extract, manipulate, and transform large datasets using advanced SQL and Python to automate insight generation. Strategic Partnership: Serve as the technical analytics partner for GTM organizations, translating models into actionable recommendations. Forecasting: Track commission costs by developing predictive algorithms for future GTM performance and payouts. Pay‑for‑Performance Framework: Design and build a framework to evaluate payout rates and compensation structures across roles and tiers. Qualifications Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field. Experience: 3+ years 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 automated dashboards in Tableau or a similar tool. Analytical Problem Solving: Ability to independently address complex analytical requests, structure data pipelines, perform analyses, validate assumptions, and deliver reliable scientific models. Communication & Storytelling: Ability to synthesize complex data and scientific methodologies into clear, consumable deliverables with actionable takeaways. Industry Knowledge: Preference for a general understanding of how a SaaS GTM engine functions. CRM Knowledge: Knowledge of Salesforce products and/or CRM infrastructure preferred. Benefits Benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. Typical base salary range is $94,000 – $142,300 annually (base salary only; bonuses, equity, and benefits not included). Accommodations Reasonable accommodations are available during application or recruiting. Submit a request via the Accommodations Request Form. Posting Statement & EEO Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. In the United States, compensation offered is 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.
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Bellevue, Washington, United States

Sprachkenntnisse

English

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