Senior Analyst - Global Incentive Compensation Analytics

Salesforce Salesforce · Enterprise · Bellevue, WA

This role focuses on advanced analytics and scientific modeling for global incentive compensation at Salesforce. The Senior Analyst will build and deploy predictive models using Python and SQL to simulate financial and behavioral impacts of compensation plan changes, evaluate program effectiveness, and automate data insights. The role requires strong analytical problem-solving skills, proficiency in Python and SQL, and the ability to translate complex data into actionable business recommendations.

What you'd actually do

  1. 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.
  2. Go beyond standard reporting to uncover hidden trends, performing sophisticated statistical analyses to evaluate the true effectiveness and ROI of various Incentive Compensation programs.
  3. Extract, manipulate, and transform large datasets using advanced SQL and Python to automate deep insight generation, moving away from manual Excel-based processes.
  4. 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.
  5. Track commission costs by developing robust predictive algorithms that forecast future GTM performance and commission payouts.

Skills

Required

  • 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

Nice to have

  • General understanding of how a SaaS GTM engine functions
  • Knowledge of Salesforce products and/or CRM infrastructure

What the JD emphasized

  • highly technical role
  • sophisticated analysis
  • scientific modeling
  • advanced statistical methods
  • building models
  • Advanced Modeling & Simulation
  • scientific and predictive models
  • data-backed business cases
  • Deep-Dive Analytics
  • sophisticated statistical analyses
  • Data Pipeline & Automation
  • automate deep insight generation
  • Strategic Partnership
  • technical analytics partner
  • scientific models
  • Forecasting
  • predictive algorithms
  • advanced data modeling
  • highly quantitative field
  • Advanced Programming
  • scientific models
  • complex query authoring
  • Analytical Problem Solving
  • perform advanced statistical analyses
  • scientific models
  • complex data and scientific methodologies