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Sales Compensation Analyst (Commercial Modeling & Governance Automation)

Pay
$70,817–125,091/year · BaseAnnual period assumed. Location-specific pay — pay source
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: https://spgbenefits.com/benefit-summaries
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workRight to Work Requirements

What you’ll work on

Full posting

10Sales Compensation Analyst – Commercial Modelling & Governance Automation

We are a high-accountability, globally connected Sales Compensation team that values disciplined execution, a strong sense of urgency, and end-to-end ownership.

  • Turn complex commercial deal structures into automated compensation calculation rules

  • Model the financial impact of plan and crediting rule changes using Python and SQL

  • Build reconciliation engines that flag revenue double-counting and clawback mismatches

  • Design SOX-ready control frameworks and track all manual adjustments with approval trails

  • Build and maintain Power BI dashboards and present variance findings to Finance leadership

From the employer’s posting
10Sales Compensation Analyst – Commercial Modelling & Governance Automation
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.
Translate and engineer complex commercial deal structures
Model and simulate the financial impact of proposed changes to compensation plans and crediting rules
engineering variance detection models that automatically surface anomalies including revenue double-counting, territory misalignment, unassigned account credits, and clawback mismatches
building systematic tracking mechanisms for all manual adjustments with full origin, justification, and approval trails
Architect and maintain enterprise Power BI reporting suites

What you’ll bring

All qualifications

Core experience

  • Experience: 5+ years in sales compensation analytics, financial modelling, or commercial data governance within a multinational organisation.
  • Experience working within B2B SaaS or subscription-based sales compensation environments, including enterprise crediting rules, quota structures, and multi-tier incentive plan mechanics.
  • SQL and Data Modelling: Advanced SQL proficiency for data modelling, validation, and complex multi-table reconciliation across ledger revenues, CRM systems, and compensation engines.
  • 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 compensation calculation readiness.
Qualification wording
Experience: 5+ years in sales compensation analytics, financial modelling, or commercial data governance within a multinational organisation.
Experience working within B2B SaaS or subscription-based sales compensation environments, including enterprise crediting rules, quota structures, and multi-tier incentive plan mechanics.
SQL and Data Modelling: Advanced SQL proficiency for data modelling, validation, and complex multi-table reconciliation across ledger revenues, CRM systems, and compensation engines.
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 compensation calculation readiness.

Benefits in the posting

Full benefits wording
  • Our benefits include:
  • Health & Wellness: Health care coverage designed for the mind and body.
  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
  • Global Hiring and Opportunity at S&P Global:
  • Recruitment Fraud Alert:
  • -----------------------------------------------------------

From the employer’s posting.

About S&P Global

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective.

In the employer’s words · Read in context

Apply at S&P Global

Posting record

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Actively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 2, 202613 days ago
Recorded sightings
13
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 13

Similar jobs usually come down between day 5 and day 43.

At S&P Global, jobs usually come down by about day 18.

From 14,748 similar postings that came down, and 136 of S&P Global’s. Coming down is not always a hire.

S&P Global is hiring

28 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring has slowed
  • Takes jobs down at a usual pace
  • 4% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Alteryx
  • Power BI
  • Power Query
  • pandas
Where the posting names them
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.
- 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.
- 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.
- SQL and Data Modelling: Advanced SQL proficiency for data modelling, validation, and complex multi-table reconciliation across ledger revenues, CRM systems, and compensation engines. - Automation and Scripting: Hands-on experience using Python/Pandas or Alteryx to build automated reconciliation workflows, variance detection models, and data pipeline scripts. - 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.
- Experience: 5+ years in sales compensation analytics, financial modelling, or commercial data governance within a multinational organisation. - SQL and Data Modelling: Advanced SQL proficiency for data modelling, validation, and complex multi-table reconciliation across ledger revenues, CRM systems, and compensation engines. - Automation and Scripting: Hands-on experience using Python/Pandas or Alteryx to build automated reconciliation workflows, variance detection models, and data pipeline scripts.
- Experience designing and maintaining standardised adjustment protocols with systematic approval trail tracking for manual compensation overrides. - Proven experience conducting technical peer reviews of SQL queries, automation scripts, and configuration changes prior to deployment in production compensation environments. Right to Work Requirements
- 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.
- Automation and Scripting: Hands-on experience using Python/Pandas or Alteryx to build automated reconciliation workflows, variance detection models, and data pipeline scripts. - 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. - 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.

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About S&P Global

People
About 44,500 in 2025, up 5% from the year before.Annual report (SEC Form 10-K)
Company
Listed as SPGI.

Demand for Analyst roles

New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 993, the most 1,515, and the latest week had 1,515.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

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 role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please visit: https://spgbenefits.com/benefit-summaries


What We Are Looking For

Basic Required Qualifications

  • Experience: 5+ years in sales compensation analytics, financial modelling, or commercial data governance within a multinational organisation.
  • SQL and Data Modelling: Advanced SQL proficiency for data modelling, validation, and complex multi-table reconciliation across ledger revenues, CRM systems, and compensation engines.
  • Automation and Scripting: Hands-on experience using Python/Pandas or Alteryx to build automated reconciliation workflows, variance detection models, and data pipeline scripts.
  • 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.
  • 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 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 standardised adjustment protocols with systematic approval trail tracking for manual compensation overrides.
  • Proven experience conducting technical peer reviews of SQL queries, automation scripts, and configuration changes prior to deployment in production compensation environments.

Right to Work Requirements

This role is limited to persons with indefinite right to work in the United States.


Return to Work — Restart

Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic.

What’s In It For You?

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:
Integrity, Discovery, Partnership


Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include: 

  • Health & Wellness: Health care coverage designed for the mind and body.

  • Flexible Downtime: Generous time off helps keep you energized for your time on.

  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

  • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

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Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.  Only electronic job submissions will be considered for employment.  

 

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.  
 
US Candidates Only: Know Your Rights: Workplace discrimination is illegal

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202 - Middle Professional (EEO Job Group) (inactive), 20 - Professional (EEO-2 Job Categories-United States of America), FINANC202.1 - Middle Professional Tier I (EEO Job Group)
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Pay
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: https://spgbenefits.com/benefit-summaries
Location & working pattern

UK - Virtual

Right to Work Requirements This role is limited to persons with indefinite right to work in the United States. Return to Work — Restart
Work authorization
- Proven experience conducting technical peer reviews of SQL queries, automation scripts, and configuration changes prior to deployment in production compensation environments. Right to Work Requirements This role is limited to persons with indefinite right to work in the United States. Return to Work — Restart

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