Sales Compensation Analyst; Financial Modeling & Planning

Grade Level (for internal use):10

Sales Compensation Analyst – Financial Modelling and Planning

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.

• Build and execute dynamic financial forecasting models using Python (Num Py/Pandas) and advanced Excel/Power Query — simulating sales compensation expense under variable performance distributions, modelling global commission accruals, and cross-referencing run‑rate performance with historic seasonality trends to support FP&A alignment and month‑end payout estimates.
• Perform multi‑variable stress‑testing and sensitivity analyses on proposed compensation structures — including shifts in accelerator tiers, commission caps, milestone bonuses, and quota changes — to forecast risk boundaries and tail‑risk exposure, while constructing statistical attainment distributions to surface plan distortions, windfall payouts, and quota cliffs across global sales territories.
• Design and compute plan effectiveness metrics — analysing the correlation between compensation expense, product line profitability, and net new Annual Contract Value (ACV), and evaluating the ROI and behavioural impact of non‑standard incentive programs including SPIFFs, strategic account bonuses, and multi‑year contract multipliers.
• Develop and maintain automated Power BI executive dashboards tracking global commission expense ratios, average realisation rates, CAC/COC ratios, and quota attainment curves — translating complex quantitative modelling outputs into clear, narrative‑driven executive presentations and briefing decks for Commercial and Finance leadership.
• Build reusable, script‑based scenario calculators using Python, SQL, and Alteryx — enabling compensation strategists to rapidly simulate mid‑year crediting and plan adjustments — while maintaining version‑controlled mathematical repositories for longitudinal baseline comparisons across fiscal cycles.
• Partner with Data Architecture teams to automate data ingestion from enterprise data warehouses into financial modelling work spaces, ensuring pipeline integrity, data freshness, and modelling accuracy across all forecasting and planning outputs.

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: benefit‑summaries

• 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 for large‑scale compensation expense forecasting and risk quantification.
• Coding and Automation:
  Hands‑on experience using Python (Pandas/Num Py) or Alteryx for data manipulation and…