Finance Lead – AWS Global Sales Planning & Compensation

Amazon Web Services (AWS); Seattle (WA); On-site; USD 95,000 - 163,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking a Finance Manager to join the AWS Global Sales Planning & Compensation Finance team. The role focuses on ensuring equitable revenue and quota planning, partnering with SPC plan design, economics, data science, and partner finance teams to optimize sales efficiency and impact.

The role demands extensive experience in forecasting, financial reporting, and data-driven decision support, with a strong emphasis on automation, KPIs, and cross-functional collaboration

Qualifications

• Bachelor's degree in finance, accounting, business, economics, or a related analytical field
• 6+ years building financial and operational reports/data sets
• 6+ years delivering financial models and recommendations with impact
• 6+ years creating automation and analysis
• 6+ years applying KPIs to analyses
• 6+ years tax/finance analytics
• 5+ years dissecting financial data for business strategy
• 5+ years leading cross-functional initiatives
• Experience with Excel including complex formulas and pivot tables

Responsibilities

• Lead Revenue Forecasting & Planning
• Design new financial insights & models
• Enhance existing financial reporting
• Present ad hoc business analysis to senior management
• Recommend improvements and provide scope for system enhancements

Skills

Excel

Financial modeling

Data analysis

Forecasting

Cross-functional collaboration

Education

MBA

CMA

Tools

SQL/ETL

Essbase

Cognos

Oracle

Job description

Amazon.com Services LLC is seeking a Finance Manager to join the AWS Global Sales Planning & Compensation Finance team. The role focuses on ensuring equitable revenue and quota planning, partnering with SPC plan design, economics, data science, and partner finance teams to optimize sales efficiency and impact.

The role demands extensive experience in forecasting, financial reporting, and data-driven decision support, with a strong emphasis on automation, KPIs, and cross-functional collaboration