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Finance Manager - FP&A, International Stores Finance

Job in Seattle, King County, Washington, 98101, USA
Listing for: Amazon
Full Time position
Listed on 2026-09-06
Job specializations:
  • Finance & Banking
    Corporate Finance, Financial Manager, Financial Analyst
Job Description & How to Apply Below

Finance Manager

If you are curious about the Amazon Stores business outside the US and want to work with the full P&L, the International Stores FP&A team is the place for you! FP&A is the place to learn the business from top to bottom—from customer trends that impact topline growth, to retail evolution like Quick Commerce, to how macroeconomic events impact the global business—this team investigates all of these and more.

We directly support the International Stores CFO and SVPs through reporting, planning, and insights. We are looking for an individual who is curious about the business and wants to develop their finance career through regular interaction with senior finance leaders.

We are seeking a Finance Manager to join our team. You will be responsible for FP&A processes like weekly business reviews, financial outlooks, and Board of Directors preparation. You will work with Finance teams from EU, Japan, and Emerging Stores to communicate and support the story behind the numbers. The role entails asking questions and learning about the business, while looking for the key details that leaders need to act on business risks and opportunities.

You will learn, through frequent interaction, how finance leaders think about the business and what they focus on to drive performance. Good communication skills are key. You will develop your presentation skills by leading discussions with senior leadership on the outlook of business performance.

Key job responsibilities:

  • Work cross functionally with FP&A teams on future-looking forecasts and actual performance.
  • Drive weekly business review deliverables and discussions with senior leaders.
  • Produce financial outlook analyses for senior leaders.
  • Work with science teams on machine-learning based forecasting.
  • Identify, develop and implement process improvement initiatives.
  • Perform real-time analysis and data support for leadership questions.
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