Business Analyst

We're expanding our Commissions team and looking for a sharp, detail-oriented, data-driven Commission Analyst to join us.

You'll sit at the intersection of two worlds: the business side that designs comp plans and the technical side that builds the models calculating payouts. You'll be the translator who turns plan logic into technical spec (and back), while also keeping data accurate, calculations on time, and payouts right.

What You’ll Do

• Act as the connective layer between Sales Comp plan and the team building the payout calculation model
• Translate comp plan rules, exceptions, and edge cases into clear, technically implementable logic, and vice versa
• Team up with analysts on commission calculations and payouts
• Sync source data, generate reports, process account/contract changes
• Implement approved comp adjustments and exceptions with precision
• QA calculations, give payroll files a final check before sign off
• Get ahead of cycle close: prep and validate data, partner with RevOps on completeness
• Build dashboards and reports tracking payout trends, attainment, exceptions
• Surface insights beyond the numbers to shape commission policy and process
• Develop and maintain AI augmented economic models
• Drive process improvements for efficiency and controls
  
  

• 3+ years in commission processing, finance ops, or revenue ops
• Prior exposure to sales compensation or incentive plan administration
• Comfort as a go between for business stakeholders and technical builders
• Strong technical capabilities, high level Excel and familiarity with BI tools
• Strong SQL skills, experience with cloud data warehouses like Athena or BigQuery
• Sharp attention to detail, ownership of a recurring, deadline driven process
• Ability to prioritize when month/quarter end volume ramps up
• Strong written/verbal communication across business and technical audiences
• Genuine interest in AI tools and data automation
  
  

• Experience specifying or QAing a commission/payout calculation engine
• Understanding of SaaS models and ARR mechanics
• Jira or similar ticketing system experience
• Salesforce or other CRM proficiency
• Python for data analysis, automation, and modeling
• AI/ML tool design or implementation in finance
• Being introduced by an AppsFlyer team member