Sales Compensation Analyst (Financial Modeling & Planning)

Overview

This role is for a quantitative specialist within the Sales Compensation planning function. You will design and run simulation and scenario models that support incentive spend planning across a global sales organization. Work includes stress-testing plan structures, forecasting commission accruals, and delivering predictive analytics that keep compensation spend aligned with divisional financial targets.

Responsibilities

• Build and execute dynamic financial forecasting models using Python (NumPy/Pandas) and advanced Excel/Power Query, including:
  • Simulating sales compensation expense under variable performance distributions
  • Modeling global commission accruals
  • 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:
  • Accelerator tier shifts
  • Commission caps
  • Milestone bonuses
  • Quota changes
  • Construct statistical attainment distributions to surface plan distortions, windfall payouts, and quota cliffs across global sales territories
• Design and compute plan effectiveness metrics by analyzing the correlation between:
  • Compensation expense
  • Product line profitability
  • Net new Annual Contract Value (ACV)
  • Evaluate 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
  • Quota attainment curves
  • Translate quantitative modelling outputs into clear executive presentations and briefing decks for Commercial and Finance leadership
• Build reusable, script-based scenario calculators using Python, SQL, and Alteryx to support rapid simulation of 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 workspaces, ensuring:
  • Pipeline integrity
  • Data freshness
  • Modelling accuracy across forecasting and planning outputs

Compensation & Benefits (US Candidates Only)

• Anticipated base salary range: $70,817 to $125,091
• Final base salary will be based on geographic location, experience level, skill set, and training, licenses, and certifications.
• Eligible for an annual incentive plan.
• Eligible for additional benefits.

Requirements

• 5+ years of experience in financial modelling, quantitative compensation analysis, corporate FP&A, or incentive strategy within a multinational organization
• Proven experience building:
  • Nested logic models
  • Dynamic array models
  • Monte Carlo or multi-variable sensitivity simulations for large-scale compensation expense forecasting and risk quantification
• Hands-on experience with:
  • Python (Pandas/NumPy) or Alteryx for data manipulation and programmatic financial modelling
  • Advanced SQL querying across large, multi-table datasets
• Demonstrated Power BI experience building sophisticated data visualization models using:
  • Advanced DAX measures
  • Star-schema architectures for executive-level reporting
• Demonstrated ability to synthesize complex quantitative modelling outputs (forecast results, stress-test findings, attainment analyses) into clear, structured recommendations for senior Finance and Commercial executives

Preferred Qualifications

• Experience using corporate financial planning tools (Adaptive Insights, Anaplan, or Workday Adaptive) in a compensation or revenue planning context
• Experience applying Monte Carlo simulation or probabilistic modelling techniques to sales compensation forecasting and tail-risk exposure quantification
• Experience constructing attainment distribution analyses and quota cliff assessments to identify plan design distortions across global sales territories
• Experience analyzing the correlation between compensation expense ratios (including CAC and COC ratios) and product line profitability or net new ACV in a B2B SaaS or subscription-based sales environment
• Experience building and maintaining version-controlled financial modelling repositories with longitudinal baseline data for multi-year compensation plan performance comparisons
• Experience partnering with Data Architecture or Data Engineering teams to design automated data ingestion pipelines from enterprise data warehouses into financial modelling workspaces
• Experience using Python (SciPy, Statsmodels) or R for advanced statistical modelling, including regression analysis and distribution fitting, in a sales compensation or FP&A context

Right to Work

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