Sales Compensation & FP&A Modeling Analyst

S&P Global; United Kingdom; Remote; GBP 53.000 - 93.000; Vollzeit

Benefits dieser Stelle

Health care coverage

Flexible time off

Continued learning and development

Retirement planning

Zusammenfassung

S&P Global Market Intelligence is seeking a Sales Compensation Analyst to design and run models that govern incentive spend across the global sales force, stress-testing plan structures and forecasting commission accruals to align with divisional targets.

The role involves building forecasting models in Python and Excel, performing multi-variable analyses, developing Power BI dashboards, and partnering with Data Architecture to automate data ingestion for accurate planning across fiscal cycles.

Qualifikationen

• 5+ years in financial modelling, quantitative compensation analysis, corporate FP&A, or incentive strategy.
• Advanced financial modelling with nested logic, dynamic arrays, and Monte Carlo/sensitivity simulations.
• Coding with Python (Pandas/NumPy) or Alteryx and SQL.
• Power BI development with DAX for executive reporting.
• Strategic communication of forecasts and analyses to senior Finance/Commercial leaders.

Aufgaben

• Build and run dynamic forecasting models using Python and advanced Excel to simulate compensation expense and accruals.
• Perform stress-testing and sensitivity analyses on compensation structures and quotas.
• Design plan effectiveness metrics linking expense, profitability, and ACV.
• Develop automated Power BI dashboards for global commission metrics and executive briefing decks.
• Create reusable scenario calculators with Python/SQL/Alteryx and maintain versioned modelling repositories.
• Collaborate with Data Architecture to automate data ingestion into modelling workspaces.

Kenntnisse

Financial modelling

Quantitative analysis

FP&A

Python

SQL

Power BI

Tools

Alteryx

Adaptive Insights

Anaplan

Workday Adaptive

Jobbeschreibung

S&P Global Market Intelligence is seeking a Sales Compensation Analyst to design and run models that govern incentive spend across the global sales force, stress-testing plan structures and forecasting commission accruals to align with divisional targets.

The role involves building forecasting models in Python and Excel, performing multi-variable analyses, developing Power BI dashboards, and partnering with Data Architecture to automate data ingestion for accurate planning across fiscal cycles.