Jobs · Accounting · Virginia

Financial Analyst II, NACF

Amazon · Arlington, VA · Yesterday
AccountingFull-time

About the role

The US Non-Sort Finance team is a small, high-trust group within Worldwide Operations Finance, supporting one of the most complex nodes in Amazon's fulfillment network: non-sortable facilities that handle oversized, bulky, and high-value inventory. Led by a Finance Manager with deep roots in supply chain and operations finance, the team gives analysts real accountability over distinct workstreams, not just support roles.

Responsibilities

  • Own end-to-end contribution profit reporting across Retail and Fulfilled by Amazon (FBA) channels for the US Non-Sort network, ensuring accuracy through proactive auditing and data reconciliation
  • Build and maintain dynamic financial models to support profitability initiatives, scenario analysis, and operational planning cycles, translating complex data into defensible narratives for Director and VP-level audiences
  • Write SQL queries independently to extract, validate, and reconcile data from Redshift, DataCentral Workbench, and the Ops Finance Data Lake, identifying discrepancies and root causes before they reach leadership
  • Partner with Operations teams to investigate cost variances, understand volume shifts, and translate financial insights into actionable recommendations that improve network profitability
  • Lead continuous improvement projects to automate reporting processes and build scalable mechanisms that enhance controllership, participating in the development of AI-assisted finance workflows

Qualifications

  • 3+ years of tax, finance or a related analytical field experience
  • 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience
  • Bachelor's degree

Preferred Qualifications

  • 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
  • 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)

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