Global Cross-Border Finance Lead

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

Job summary

Amazon.com Services LLC in Seattle seeks a Finance Manager to own financial analysis for high-visibility cross-border programs, support planning and entitlement sizing, and align cross-functional teams. You will drive cost-to-serve optimization while partnering with regional and central groups.

A growth mindset and ability to navigate ambiguity are essential. Preferred candidates have an MBA or CPA and strong SQL/ETL and data mining experience with large data sets.

Qualifications

• 5+ years of tax, finance or a related analytical field experience.
• Bachelor's degree in finance, accounting, business, economics, or a related analytical field.
• 5+ years leading cross-functional initiatives that drive financial performance and strategy.
• 5+ years dissecting financial data and identifying patterns to support business strategy.

Responsibilities

• Shape financial strategy for cross-border programs — seller fees, pricing, and profitability targets.
• Own P&L controllership, variance tracking, and financial discipline.
• Develop scalable tools and processes for planning cycles and insightful reporting.
• Sourcing, analyzing, and reporting quantitative data; perform ad-hoc analyses.

Skills

5+ years of finance or analytical work

Cross-functional leadership

Financial data analysis

Forecasting and variance analysis

SQL/ETL knowledge

Data mining and reporting tools

Education

Bachelor's degree in finance, accounting, business or analytical field

MBA or CPA (preferred)

Tools

SQL

ETL

Oracle

SAP

Cognos

MS Access

Essbase

JD Edwards

Job description

Amazon.com Services LLC in Seattle seeks a Finance Manager to own financial analysis for high-visibility cross-border programs, support planning and entitlement sizing, and align cross-functional teams. You will drive cost-to-serve optimization while partnering with regional and central groups.

A growth mindset and ability to navigate ambiguity are essential. Preferred candidates have an MBA or CPA and strong SQL/ETL and data mining experience with large data sets.