Inventory Finance Analyst: Controllership & P&L Analytics

Amazon

New York (NY)

On-site

USD 74,000 - 129,000

Full time

9 days ago
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Job summary

Amazon is seeking a Finance partner to support the Inventory Management pillar. You will own recurring inventory financial reporting, track savings, and validate inputs across 10+ cross-functional teams to ensure accurate reflection in financial results.

You will work on daily to monthly cadence, including QBRs and MBRs, with a focus on controllership, data mining, and strategic analysis. A strong business partner mindset and experience with large datasets are required.

Qualifications

  • Bachelor's degree in finance, accounting or related field.
  • 3+ years of tax, finance or analytical field experience.
  • Experience with SQL for data mining and BI.
  • 3+ years contributing to cross-functional initiatives that drive financial performance.
  • 3+ years dissecting financial data to support business strategy.
  • 4+ years participating in continuous improvement projects to scale controllership.

Responsibilities

  • Own recurring inventory financial reporting including flash, monthly commentary, and P&L variance analysis for inventory cost lines.
  • Track savings delivery across inventory defect programs by validating inputs and reconciling to P&L actuals.
  • Partner with Operations, OIH, and Retail teams to gather inputs and ensure consistent methodology.
  • Maintain and refresh inventory balance reports, aging analysis, and high-risk inventory profiles.
  • Support the Inventory Management Lead with ad hoc financial analyses and deep dives.
  • Own QBR, OP, and MBR deliverables.

Skills

Data mining
Tableau
Financial analysis
Cross-functional collaboration
P&L awareness

Education

Bachelor's degree in finance or related field
MBA
CPA

Tools

SQL
MS Access
Essbase
Cognos
Oracle
SAP
Lawson
JD Edwards

Job description

Amazon is seeking a Finance partner to support the Inventory Management pillar. You will own recurring inventory financial reporting, track savings, and validate inputs across 10+ cross-functional teams to ensure accurate reflection in financial results.

You will work on daily to monthly cadence, including QBRs and MBRs, with a focus on controllership, data mining, and strategic analysis. A strong business partner mindset and experience with large datasets are required.

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