Sales Compensation Analyst (Commercial Modeling & Governance Automation)

S&P Global•London, CT

7d•$70,817 - $125,091

About The Position

The Sales Compensation Analyst is the analytical and engineering engine behind S&P Global Market Intelligence’s sales compensation function. The role converts complex commercial deal structures, multi-tier incentive plans, and governance controls into automated, audit-ready data models, making compensation calculations more accurate, scalable, and compliant. The position supports a globally connected team serving more than 1,500 plan participants and works with Commercial, Finance, Revenue Operations, and Legal/Deal Desk stakeholders, including executive leadership. The analyst models and simulates compensation-plan and crediting-rule changes, builds automated reconciliation and anomaly-detection workflows, maintains governance and SOX control documentation, and develops Power BI reporting and monitoring dashboards. The role also standardizes legacy processes into documented operating procedures and service-level agreements, explains technical calculations in plain language, and reviews technical changes before production deployment. The anticipated U.S. base salary range is $70,817 to $125,091. The role is eligible for an annual incentive plan and additional S&P Global benefits. Applicants must have an indefinite right to work in the United States.

Requirements

At least 5 years of experience 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 across ledger revenues, CRM systems, and compensation engines.
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 for enterprise-level reporting suites.
Proven experience operating within SOX-compliance frameworks, including designing audit-ready controls, running automated control-test queries, and producing end-to-end calculation traceability documentation.
Indefinite right to work in the United States.

Nice To Haves

Experience in B2B SaaS or subscription-based sales compensation environments, including enterprise crediting rules, quota structures, and multi-tier incentive-plan mechanics.
Experience presenting complex data logic, calculation methodologies, and compensation-model outcomes to Finance and Commercial executive leadership in clear, non-technical language.
Experience translating complex commercial contract mechanics into structured algorithmic logic within enterprise compensation calculation engines.
Experience partnering with Revenue Operations and Legal/Deal Desk to assess non-standard transaction structures for data feasibility and downstream compensation-calculation readiness.
Experience building real-time data-health and anomaly-monitoring dashboards that surface unmapped accounts, missing credit assignments, adjustment-volume trends, and pipeline-integrity issues.
Experience designing and maintaining standardized adjustment protocols with systematic approval-trail tracking for manual compensation overrides.
Experience conducting technical peer reviews of SQL queries, automation scripts, and configuration changes before production deployment in compensation environments.

Responsibilities

Translate complex commercial deal structures—including multi-year enterprise agreements, joint-production credit splits, co-selling models, and overlay allocations—into structured algorithmic logic and standardized business rules in the compensation calculation engine.
Model and simulate the financial impact of proposed compensation-plan and crediting-rule changes using Python and SQL scenario analyses on historical payout data.
Partner with Revenue Operations and Legal/Deal Desk to evaluate non-standard transaction structures for data feasibility and commercial accuracy.
Build and maintain automated reconciliation engines using Python, Alteryx, and SQL to compare ledger revenues, CRM bookings, and calculated commissionable revenue.
Develop variance-detection models to surface anomalies such as revenue double-counting, territory misalignment, unassigned account credits, and clawback mismatches.
Design and maintain governance controls and tracking for manual adjustments, including origin, justification, and approval trails.
Direct quarterly and annual SOX audit documentation and run automated control-test queries to demonstrate end-to-end calculation traceability.
Architect and maintain enterprise Power BI reporting suites using advanced data models, DAX, and Power Query M.
Build real-time data-health and anomaly-monitoring dashboards and present variance summaries, root-cause analyses, and actionable insights to Finance and Commercial leadership.
Convert fragmented legacy workflows into structured standard operating procedures with clear service-level agreements.
Serve as a senior technical point of contact for Commercial and Finance stakeholders, explaining complex data logic and calculation outcomes in plain language.
Conduct technical peer reviews of queries, code updates, and configuration changes before production deployment.

Benefits

Health care coverage designed for mind and body.
Generous time off.
Access to continuous-learning resources and opportunities to develop new skills.
Competitive pay and retirement planning.
Continuing education program with a company-matched student-loan contribution.
Financial wellness programs.
Family-friendly perks and benefits.
Retail discounts.
Referral incentive awards.
Annual incentive plan.