Senior Financial Analyst - Carbon & AI-Driven Ops Finance

Amazon

Arlington (VA)

On-site

USD 67,000 - 117,000

Full time

6 days ago
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Job summary

Amazon is seeking a Sr. Financial Analyst for WW Operations Sustainability Finance to support carbon planning and analysis for NA.

The role focuses on data integrity, reporting, and planning across carbon emissions, partnering with regional sustainability, BI, and BU Finance teams. You will help maintain data structures, validate CI calculations, and contribute to AI-native automation for data quality checks and variance commentary.

Qualifications

  • Bachelor's degree in finance, accounting or related field.
  • 3+ years of finance, tax or related analytical experience.
  • 3+ years of cross-functional initiatives that drive financial performance and strategy.

Responsibilities

  • Support NA carbon month-end close with data quality.
  • Maintain and improve carbon reporting data structures.
  • Partner cross-functionally to consolidate data requests and resolve discrepancies.
  • Support carbon planning cycles and ensure drivers are captured in the financial plan.
  • Deep-dive data quality issues and propose improvements.
  • Contribute to AI-native reporting and variance commentary development.
  • Prepare variance commentary and leadership metrics with senior guidance.
  • Escalate data quality or timeline risks promptly.

Skills

Finance experience
Cross-functional collaboration
Financial data analysis
Data storytelling

Education

Bachelor's degree in finance, accounting or related field

Tools

Power BI
Python
SQL
Excel
Tableau

Job description

Amazon is seeking a Sr. Financial Analyst for WW Operations Sustainability Finance to support carbon planning and analysis for NA.

The role focuses on data integrity, reporting, and planning across carbon emissions, partnering with regional sustainability, BI, and BU Finance teams. You will help maintain data structures, validate CI calculations, and contribute to AI-native automation for data quality checks and variance commentary.

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