Sales Compensation Analyst – Commercial Modeling, Governance Automation

🔥 4 minutes ago

🌐 United States, United Kingdom – Remote

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⛰️ Colorado, Connecticut, +7 more states – Remote

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💵 $70.8k - $125.1k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🎲 Risk

Where this job comes from

Posted on S&P Global's careers page, not through a job board

First seen by Remote Rocketship 4 minutes ago

Logo of S&P Global

S&P Global

10,000+ employees

Founded 1860

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

S&P Global is a leading provider of market intelligence, ratings, analytics, and benchmark indices. The company offers comprehensive insights across various domains including finance, commodities, mobility, and sustainability. Renowned for its data-driven solutions, S&P Global assists organizations in navigating complex market trends, evaluating credit risk, and understanding the implications of artificial intelligence and energy transitions. Its diverse offerings, such as S&P Global Market Intelligence, S&P Global Ratings, and S&P Dow Jones Indices, provide critical data and analytics to businesses, government entities, and investors worldwide.

📋 Description

• Translate and engineer complex commercial deal structures into structured algorithmic logic and standardised business rules within the compensation calculation engine • Model and simulate the financial impact of proposed compensation plan and crediting-rule changes using Python and SQL scenario analyses • Partner with Revenue Operations and Legal/Deal Desk to evaluate non-standard transaction structures • Build and maintain automated reconciliation engines using Python, Alteryx, and SQL • Cross-compare ledger revenues, CRM bookings, and calculated commissionable revenue • Engineer variance detection models to surface anomalies including revenue double-counting, territory misalignment, unassigned account credits, and clawback mismatches • Design and maintain governance control frameworks with origin, justification, and approval trails for manual adjustments • Direct quarterly and annual SOX audit documentation • Run automated control test queries to demonstrate end-to-end calculation traceability • Architect and maintain enterprise Power BI reporting suites using DAX and Power Query M • Build real-time Data Health and Anomaly monitoring dashboards • Present variance summaries, root cause analyses, and actionable insights to Finance and Commercial leadership • Convert fragmented legacy workflows into structured SOPs with clear SLAs • Serve as senior technical point of contact for Commercial and Finance stakeholders • Conduct technical peer reviews of queries, code updates, and configuration changes before production deployment

🎯 Requirements

• 5+ years in sales compensation analytics, financial modelling, or commercial data governance within a multinational organisation • Advanced SQL proficiency for data modelling, validation, and complex multi-table reconciliation • Hands-on experience using Python/Pandas or Alteryx to build automated reconciliation workflows, variance detection models, and data pipeline scripts • Advanced Power BI expertise including data modelling, star schema design, complex DAX measures, and Power Query M transformations • Proven experience operating within SOX-compliance frameworks • Indefinite right to work in the United States • Experience working within B2B SaaS or subscription-based sales compensation environments • Experience presenting complex data logic and compensation model outcomes to Finance and Commercial executive leadership • Experience translating complex commercial contract mechanics into structured algorithmic logic • Experience partnering with Revenue Operations and Legal/Deal Desk • Experience building real-time data health and anomaly monitoring dashboards • Experience designing and maintaining standardised adjustment protocols • Proven experience conducting technical peer reviews of SQL queries, automation scripts, and configuration changes

🏖️ Benefits

• Annual incentive plan • Health care coverage • Generous time off • Continuous learning resources • Competitive pay • Retirement planning • Continuing education program • Company-matched student loan contribution • Financial wellness programs • Family benefits and perks • Retail discounts • Referral incentive awards

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