About the Role:
Grade Level (for internal use):
10 Sales Compensation Analyst – Commercial Modelling & Governance Automation
The Team
We are a high-accountability, globally connected Sales Compensation team that values disciplined execution, a strong sense of urgency, and end-to-end ownership. We expect our people to understand the full lifecycle of their work, anticipate downstream impacts, and communicate outcomes with exceptional clarity, whether supporting our broad population of 1,500+ plan participants or partnering with C-level executives. We value precision, responsiveness, sound judgment, collaboration, and people who take ownership through to resolution.
Responsibilities and Impact
This is a role for someone who sees a manual compensation process and immediately knows how to automate it. As the analytical and engineering engine behind S&P Global Market Intelligence's sales compensation function, you will convert complex commercial deal structures, multi-tier incentive plans, and governance controls into automated, audit-ready data models — building the infrastructure that makes accuracy scalable and compliance systematic. If you combine deep technical fluency in SQL, Python, and Power BI with a genuine understanding of how enterprise compensation works, this role offers the scope, the complexity, and the leadership exposure to match.
Translate and engineer complex commercial deal structures — including multi-year enterprise agreements, joint-production credit splits, co-selling models, and overlay allocations — into structured algorithmic logic and standardised business rules within the compensation calculation engine, eliminating manual offline adjustments and ensuring downstream calculation readiness.
Model and simulate the financial impact of proposed changes to compensation plans and crediting rules — running Python and SQL scenario analyses on historical payout data and partnering 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 — cross-comparing ledger revenues, CRM bookings, and calculated commissionable revenue, and engineering variance detection models that automatically surface anomalies including revenue double-counting, territory misalignment, unassigned account credits, and clawback mismatches.
Design and maintain governance control frameworks — building systematic tracking mechanisms for all manual adjustments with full origin, justification, and approval trails; directing comprehensive quarterly and annual SOX audit documentation; and running automated control test queries to demonstrate end-to-end calculation traceability.
Architect and maintain enterprise Power BI reporting suites — developing advanced data models using DAX and Power Query M to visualise sales performance, attainment distributions, and compensation trends; building real-time Data Health and Anomaly monitoring dashboards; and presenting variance summaries, root cause analyses, and actionable insights directly to Finance and Commercial leadership.
Standardise operations and advise stakeholders — converting fragmented legacy workflows into structured SOPs with clear SLAs; serving as the senior technical point of contact for Commercial and Finance stakeholders by translating complex data logic and calculation outcomes into plain-English explanations; and conducting technical peer reviews of queries, code updates, and configuration changes prior to production deployment.
Compensation and Benefits (US Candidates Only)
S&P Global states that the anticipated base salary range for this position is $70,817 to $125,091. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications.
In addition to base compensation, this role is eligible for an annual incentive plan. This…