Sales Compensation Analytics & Systems Lead

Nubeero Limited; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Stripe is seeking a Sales Compensation Analyst to drive analytics and design compensation programs for our global sales force. You will transform raw data into actionable insights, enabling fair and motivating pay structures across diverse regions and products.

In this role, you collaborate with product, sales operations, and finance teams, supporting the Incentive Compensation Management (ICM) tool and reporting frameworks. The ideal candidate excels in data storytelling and strategic thinking.

Qualifications

• 4+ years in Sales Compensation or Sales Operations.
• BS/BA in Business, Data Science, Economics, Finance, Math, or Statistics.
• Experience with a commercial Incentive Compensation Management tool (e.g. Callidus, Captivate IQ, Varicent, Xactly).
• Proven data analytics with impact on sales performance.
• Strong spreadsheet modeling and problem-solving abilities.

Responsibilities

• Monthly measurement of sales force quota attainment at varying granularity.
• Monthly forecasting of compensation to target based on quota attainment.
• Deep-diving analysis to explain performance vs. compensation gaps and propose solutions.
• Provide monthly and quarterly leadership reporting and recommendations.
• Support quarterly compensation cycle system administration in the ICM.

Skills

Sales analytics

Data storytelling

Spreadsheet modeling

Cross-functional collaboration

Education

Bachelor's degree in Business/ Economics/ Data Science

Tools

ICM tools

Excel

Job description

Stripe is seeking a Sales Compensation Analyst to drive analytics and design compensation programs for our global sales force. You will transform raw data into actionable insights, enabling fair and motivating pay structures across diverse regions and products.

In this role, you collaborate with product, sales operations, and finance teams, supporting the Incentive Compensation Management (ICM) tool and reporting frameworks. The ideal candidate excels in data storytelling and strategic thinking.