Global Incentive Compensation Analyst

What you'll do

• Build and deploy scientific and predictive models using Python to simulate the financial impacts of compensation plan changes.
• Perform sophisticated statistical analyses to evaluate the ROI and effectiveness of various incentive compensation programs.
• Extract and transform large datasets using advanced SQL and Python to automate deep insight generation.
• Serve as a technical analytics partner to translate complex scientific models into actionable business recommendations for stakeholders.
• Develop robust predictive algorithms to forecast future go-to-market performance and commission payouts.
• Design a comprehensive framework to evaluate payout rates and optimize commission multipliers across various roles.
• Build sophisticated, automated dashboards in Tableau or similar tools to visualize complex data.

What we're looking for

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related highly quantitative field.
• 3+ years of related experience in Data Science, Advanced Analytics, or highly technical quantitative analysis.
• Proficiency in Python or R for data manipulation, statistical analysis, and building scientific models.
• Advanced proficiency in SQL and 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 by structuring data pipelines and performing advanced statistical analyses.
• Ability to synthesize complex data and scientific methodologies into simple, consumable deliverables for diverse audiences.
• General understanding of how a SaaS GTM engine functions (preferred).
• Knowledge of Salesforce products and/or CRM infrastructure (preferred).