Finance Manager, NA Surface Transportation | AI Impact

Amazon; Irving (TX); On-site; USD 95,000 - 163,000; Full time

Benefits offered by this job

Health insurance

RSUs and equity components

401(k) matching

Job summary

Amazon's Transportation finance team seeks a Finance Manager who will translate granular network operations into financial insights and partner with leaders to build business cases for investments and cost initiatives.

You'll drive programs end-to-end, surface inefficiencies with cross-functional teams, and leverage AI tools to improve recommendations and measurable outcomes for P&L and customer experience.

Qualifications

• 5+ years of tax, finance or related analytical field experience.
• Bachelor's degree in finance, accounting, business, economics, or related analytical field (e.g., engineering, math, CS), or MBA and 5+ years of finance or related analytical field experience.

Responsibilities

• Learn how our network operates at the most granular level and translate that understanding into financial insight.
• Partner with business leaders to build the business cases behind network investments and cost initiatives.
• Drive programs and projects from concept through execution, measuring tangible impact on our P&L and the customer experience.
• Surface inefficiencies and opportunities that others miss, collaborating with cross-functional teams to turn analysis into action.
• Leverage AI-powered tools to accelerate analysis and elevate the quality of recommendations you bring to the table.

Skills

Finance experience

Analytical skills

Data interpretation

Forecasting & budgeting

SQL/ETL

Education

Bachelor's in finance or accounting

MBA (optional)

Tools

SQL

ETL

Essbase/Cognos

Oracle/SAP Lawson JD Edwards

Job description

Amazon's Transportation finance team seeks a Finance Manager who will translate granular network operations into financial insights and partner with leaders to build business cases for investments and cost initiatives.

You'll drive programs end-to-end, surface inefficiencies with cross-functional teams, and leverage AI tools to improve recommendations and measurable outcomes for P&L and customer experience.