AI-Driven Sales Compensation Analyst

Amazon; New York (NY); On-site; USD 97,000 - 170,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon is seeking a Sales Compensation Analyst to drive analytics for the Ads incentive compensation program. The role focuses on enabling growth through data-driven insights, AI-assisted analysis, and governance across the compensation design and operations.

The ideal candidate brings strong analytical and communication skills, experience with Salesforce, Excel, and a track record of influencing decisions in a fast-paced environment.

Qualifications

• 5+ years of finance, business management and sales operations experience.
• Experience with sales CRM tools such as Salesforce or similar software.
• Experience defining, refining and implementing sales processes, procedures and policies or equivalent.
• Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field.

Responsibilities

• Develop a deep understanding of foundational data and key business drivers to Amazon Ads variable compensation.
• Design and implement a comprehensive reporting & analytical roadmap; build out Gen AI capabilities to deliver insights.
• Automate repeated processes around monthly, quarterly and annual processes.
• Support compensation cost controllership: cost and administer in plan and above plan incentives; assist budgeting and forecasting.

Skills

Salesforce

Sales processes

Communication

Education

Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field

Tools

Microsoft Excel

Job description

Amazon is seeking a Sales Compensation Analyst to drive analytics for the Ads incentive compensation program. The role focuses on enabling growth through data-driven insights, AI-assisted analysis, and governance across the compensation design and operations.

The ideal candidate brings strong analytical and communication skills, experience with Salesforce, Excel, and a track record of influencing decisions in a fast-paced environment.