Sales Compensation Automation & Analytics Lead

S&P Global

Chicago (IL)

On-site

USD 71,000 - 125,000

Full time

2 days ago
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Benefits offered by this job

Health & Wellness
Flexible Downtime
Continuous Learning
Retirement Planning & Education
Family Friendly Perks

Job summary

S&P Global is seeking a Sales Compensation Analyst for Commercial Modelling & Governance Automation in Chicago. You will automate complex compensation rules, build scalable data models, and drive governance across the compensation lifecycle.

Candidates should bring 5+ years in sales compensation analytics, advanced SQL, and strong Python/Alteryx experience. Expect collaboration with Revenue Ops, Legal, and Finance, plus a competitive US salary and benefits.

Qualifications

  • 5+ years in sales compensation analytics or financial modelling.
  • Advanced SQL proficiency for data modelling, validation and complex multi-table reconciliation.
  • Hands-on experience using Python/Pandas or Alteryx to build automated workflows.
  • Power BI development with complex DAX measures and Power Query M transformations.
  • Experience designing audit-ready SOX controls and end-to-end calculation traceability.

Responsibilities

  • Translate complex deal structures into algorithmic logic for the compensation engine.
  • Model financial impact of plan changes using Python and SQL scenario analyses.
  • Build automated reconciliation engines across revenues, CRM bookings, and commissions.
  • Maintain governance frameworks with origin, justification and approval trails; support SOX documentation.
  • Develop enterprise Power BI reports and dashboards for leadership with insights.

Skills

SQL & data modelling
Automation & scripting
Power BI development
Governance & SOX controls

Tools

Alteryx
Python
SQL
Power BI

Job description

S&P Global is seeking a Sales Compensation Analyst for Commercial Modelling & Governance Automation in Chicago. You will automate complex compensation rules, build scalable data models, and drive governance across the compensation lifecycle.

Candidates should bring 5+ years in sales compensation analytics, advanced SQL, and strong Python/Alteryx experience. Expect collaboration with Revenue Ops, Legal, and Finance, plus a competitive US salary and benefits.

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