Finance Operations AI Analytics Lead

Amazon; 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

RSUs

Job summary

Amazon in Seattle seeks a Financial Analyst III bridging finance, ops and tech transformation. You will leverage data analytics and AI to standardize and automate finance processes, cutting manual work by 40-50% while delivering strategic insights for supply chain improvements.

You will translate complex metrics into actionable financial guidance, develop scalable controllership frameworks, and partner with multiple teams to drive AI-enabled finance initiatives.

Qualifications

• Bachelor's degree or above in Finance, Accounting, Business, Economics or a highly analytical field.
• 5+ years of finance or a related analytical field experience.
• MBA or CPA preferred.

Responsibilities

• Analyze operational data to provide financial insights that optimize costs and drive performance.
• Develop and utilize AI-enabled dashboards for anomaly detection and trend analysis.
• Partner with operations teams to validate business case assumptions and track performance metrics.
• Contribute to automated reporting systems that reduce manual work by 40-50%.
• Collaborate across finance, operations, supply chain, and technology teams to standardize investment evaluation processes.

Skills

Financial analysis

Data interpretation

Forecasting & budgeting

Variance analysis

Cross-functional collaboration

Education

Bachelor's degree or higher in Finance, Accounting, Business, Economics or a highly analytical field

MBA or CPA

Tools

SQL

ETL

MS Access

Essbase

Cognos

Oracle

SAP

Lawson

JD Edwards

Job description

Amazon in Seattle seeks a Financial Analyst III bridging finance, ops and tech transformation. You will leverage data analytics and AI to standardize and automate finance processes, cutting manual work by 40-50% while delivering strategic insights for supply chain improvements.

You will translate complex metrics into actionable financial guidance, develop scalable controllership frameworks, and partner with multiple teams to drive AI-enabled finance initiatives.