# Sales Compensation Analyst – Financial Modelling and Planning

**Company**: S&P Global
**Location**: Virtual, NY
**Experience**: senior
**Job type**: full-time
**Salary**: $70,817 to $125,091
**Category**: Finance
**Industry**: Finance

**Apply**: https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/Virtual-NY/Sales-Compensation-Analyst--Financial-Modeling---Planning-_332270-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
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## Description

We are seeking a Sales Compensation Analyst – Financial Modelling and Planning to join our high-accountability, globally connected Sales Compensation team.

As S&P Global Market Intelligence's financial engine for sales compensation planning, you will design and run simulation and scenario models that govern incentive spend across the global sales force , stress-testing plan structures, forecasting commission accruals, and delivering predictive analytics that keep compensation spend aligned with divisional financial targets.

Responsibilities and Impact:

- Build and execute dynamic financial forecasting models using Python (NumPy/Pandas) and advanced Excel/Power Query

- Perform multi-variable stress-testing and sensitivity analyses on proposed compensation structures

- Design and compute plan effectiveness metrics , analysing the correlation between compensation expense, product line profitability, and net new Annual Contract Value (ACV)

- Develop and maintain automated Power BI executive dashboards tracking global commission expense ratios and quota attainment curves

- Build reusable, script-based scenario calculators using Python, SQL, and Alteryx

- Partner with Data Architecture teams to automate data ingestion from enterprise data warehouses into financial modelling workspaces

Compensation and Benefits (US Candidates Only):

- The anticipated base salary range for this position is $70,817 to $125,091

- This role is eligible for an annual incentive plan and additional S&P Global benefits

What We Are Looking For:

- 5+ years in financial modelling, quantitative compensation analysis, corporate FP&A, or incentive strategy within a multinational organisation

- Advanced Financial Modelling: Proven experience building nested logic models, dynamic array models, and Monte Carlo or multi-variable sensitivity simulations

- Coding and Automation: Hands-on experience using Python (Pandas/NumPy) or Alteryx for data manipulation and programmatic financial modelling

- Power BI Development: Demonstrated experience building sophisticated Power BI data visualisation models using advanced DAX measures and star-schema architectures

- Strategic Communication: Demonstrated experience synthesising complex quantitative modelling outputs into clear, structured recommendations for senior Finance and Commercial executives

## Skills

### Required
- Python
- NumPy
- Pandas
- Excel
- Power Query
- Power BI
- SQL
- Alteryx
- financial modelling
- quantitative analysis
- FP&A

### Nice to have
- Monte Carlo simulation
- probabilistic modelling
- attainment distribution analyses
- quota cliff assessments
- Adaptive Insights
- Anaplan
- Workday Adaptive

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