Finance Manager, North America Surface Transportation

Job Summary

Amazon's Transportation network moves billions of packages annually, and fill rate - how fully we utilize every container and load - is one of the most critical levers in our cost structure. We're looking for a Finance Manager who is curious about how network design decisions drive fill rate outcomes, and motivated to turn that understanding into better planning, sharper reporting, and actionable insights.

Key job responsibilities

• Develop expertise in how network design decisions (lane structures, hub-to-hub flows, touches, length of haul) translate into fill rate outcomes and financial impact
• Own fill rate planning end-to-end (forecasts, glidepaths, gap identification, and clawback quantification)
• Build reporting that gives leadership clear line-of-sight into performance versus targets, variance root causes, and levers to close gaps
• Connect operational metrics (cube per load, NLCF, container fullness) to P&L outcomes through analytics and insights
• Proactively partner across Network Design, Operations, Sort Technology, and Planning to source data, validate assumptions, and drive metrics to plan
• Leverage AI-powered tools to automate reporting and elevate insight quality

Basic Qualifications

• 5+ years of tax, finance or a related analytical field experience
• Bachelor's degree

Preferred Qualifications

• 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
• 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience
• MBA, or CPA
• Knowledge of SQL/ETL
• Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
• Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results