Jobs · Finance · Virginia

Finance Manager, Process Engineering

Amazon · Arlington, VA · 1 wk ago
FinanceFull-time

Key job responsibilities

  • Lead strategic productivity initiatives in partnership with senior operations teams, identifying and validating cost-saving opportunities across the network
  • Develop and implement standardized productivity measurement frameworks, ensuring accurate tracking and reporting of performance metrics
  • Drive data-driven decision making through sophisticated financial modeling and analysis of operational performance
  • Partner with field teams to scale successful productivity programs, providing technical guidance and best practice implementation
  • Ensure strong financial controls while validating cost savings initiatives and maintaining alignment between reported and actual performance
  • Build and maintain strategic relationships with operations leadership to drive continuous improvement through analytical insights and recommendations

About the team

Join a collaborative team of financial experts supporting Amazon's US Customer Fulfillment network. You'll work across Finance, Operations, and Technology teams to drive productivity improvements through data-driven insights. Our team combines analytical excellence with practical problem-solving to enhance fulfillment operations.

Basic Qualifications

  • Bachelor's degree in finance, accounting or related field
  • 5+ years of finance or a related analytical field experience
  • Experience delivering results for large, cross-functional initiatives/projects
  • Experience in 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)

Preferred Qualifications

  • MBA, or CPA
  • 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
  • Experience communicating results to senior leadership

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