Sales Compensation Analyst (Commercial Modeling & Governance Automation)

About this role

About the Role:
Grade Level (for internal use):
10Sales 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.

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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.

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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.

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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.

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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.

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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.

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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 role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please visit:

What We Are Looking For
Basic Required Qualifications

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Experience: 5+ years in sales compensation analytics, financial modelling, or commercial data governance within a multinational organisation.

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SQL and Data Modelling: Advanced SQL proficiency for data modelling, validation, and complex multi-table reconciliation across ledger revenues, CRM systems, and compensation engines.

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Automation and Scripting: Hands-on experience using Python/Pandas or Alteryx to build automated reconciliation workflows, variance detection models, and data pipeline scripts.

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Power BI Development: Advanced Power BI expertise including data modelling, star schema design, complex DAX measures, and Power Query M transformations for enterprise-level reporting suites.

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Governance and SOX Controls: Proven experience operating within SOX-compliance frameworks — designing audit-ready controls, running automated control test queries, and producing end-to-end calculation traceability documentation.

Additional Preferred Qualifications

• Experience working within B2B SaaS or subscription-based sales compensation environments, including enterprise crediting rules, quota structures, and multi-tier incentive plan mechanics.

• Demonstrated 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 — including multi-year enterprise agreements, joint-production credit splits, co-selling models, and overlay allocations — into structured algorithmic logic within enterprise compensation calculation engines.

• Experience partnering with Revenue Operations and Legal/Deal Desk to evaluate non-standard transaction structures for data feasibility and downstream…