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 effectiveness and ROI of various incentive programs.
• Extract, manipulate, and transform large datasets using SQL and Python to automate insight generation.
• Serve as a technical analytics partner to translate complex models into actionable business recommendations for stakeholders.
• Develop robust predictive algorithms to forecast future performance and commission payouts.
• Design and build frameworks to evaluate payout rates and optimize commission multipliers across different roles.

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 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 and optimization.
• Proficiency in building sophisticated, automated dashboards in Tableau or a similar tool.
• Ability to independently solve complex analytical requests by structuring pipelines and performing advanced statistical analyses.
• Ability to synthesize complex data and scientific methodologies into simple, consumable deliverables for diverse audiences.
• Knowledge of SaaS GTM engines and Salesforce products/CRM infrastructure is preferred.