Commissions Analyst - RevOps

As a Commissions Analyst, you will play a critical role in ensuring accurate, timely, and transparent sales commission payments across global regions. You will partner with cross-functional teams including Revenue Operations, Sales, Finance, HR, and Payroll to administer commission processes, validate data integrity, resolve discrepancies, and drive continuous process improvements. This role is ideal for someone who thrives in a detail-oriented, analytical environment and enjoys improving operational efficiency.

Commission Administration & Analysis

• Own and maintain the organization's commission calculator and supporting models in Microsoft Excel.
• Calculate monthly sales commissions across all regions in accordance with approved compensation plans and policies.
• Validate commission calculations through detailed quality assurance checks to ensure accuracy.
• Perform audits, reconciliations, and data validations to maintain high standards of commission accuracy.
• Prepare and communicate finalized commission payouts to Finance and Payroll within established timelines.

Maintain commission-related data structures, mappings, and source data required for accurate calculations.

Update and enhance commission calculation logic as business requirements evolve.

Investigate and resolve commission discrepancies, calculation exceptions, and data quality issues.

Document commission processes, controls, assumptions, and calculation methodologies.

Identify opportunities to automate and improve commission administration processes for greater scalability and efficiency.

Technical & Functional Expertise

• Bachelor's degree in Finance, Accounting, Business, Economics, Analytics, or a related discipline, or equivalent professional experience.
• 2 to 5 years of experience in commissions administration, sales operations, revenue operations, finance, payroll, or other analytical roles.
• Advanced proficiency in Microsoft Excel, including complex formulas, lookups, pivot tables, data validation, and financial modeling.
• Strong analytical and problem-solving skills with experience working with large datasets.
• Experience performing reconciliations, audits, and data validation with a high degree of accuracy.