Finance Manager, North America Stores Marketing Finance

Job :  |  Services LLC

Want to shape how Amazon invests billions of marketing dollars worldwide? As a Finance Manager within the North America Stores (NAS) Marketing Finance organization, you will lead Financial Planning and Analysis (FP&A) for Worldwide Amazon Stores Fixed Marketing. As the team expands its use of Generative AI and automation to accelerate reporting, this is a compelling time to join and help define how marketing finance operates  will own consolidation and reporting across North America Stores, Worldwide Stores, and all Amazon lines of business, serving as the single finance point of contact for Worldwide Stores Fixed Marketing.

Your analyses and narratives will go directly to senior Marketing and Finance leaders, including presentations prepared for VP and SVP-level reviews. You will also play a key role in the Amazon-wide Marketing Investment Review that reaches Amazon's most senior executives. If you are ready to build your expertise in marketing investment and efficiency measurement while operating at a truly global scale, this is the role for you.

• Lead end-to-end planning mechanisms including program management, consolidation of financials and operating metrics, and synthesis of investment plans for NAS Fixed Marketing. Own the Fixed Marketing consolidation for the Amazon-wide Marketing Investment Review.
• Lead end-to-end reporting mechanisms for monthly and quarterly reviews, including consolidation of financials and operating metrics, and clear synthesis of performance variances for NAS Fixed Marketing.
• Serve as the single finance point of contact for Worldwide Stores Fixed Marketing, partnering with marketing teams and finance counterparts across Worldwide Amazon Stores to align financial and operational analyses and challenge assumptions when necessary.
• Build and maintain financial models that evaluate marketing investment efficiency, drawing conclusions and delivering recommendations to senior Marketing and Finance leaders through polished executive narratives.
• Drive continuous improvements in the speed and accuracy of financial reporting for NAS Fixed Marketing Finance, including automation using Generative AI tools, SQL, and Excel.

You might start your morning reviewing the FP&A calendar and preparing a variance analysis for an upcoming monthly Fixed Marketing review. By midday, you could be leading a planning consolidation session with finance counterparts across Worldwide Amazon Stores or drafting an executive narrative that synthesizes investment plans for senior leadership. In the afternoon, you may work on automating a reporting workflow using Generative AI tools or reconciling inputs for the Marketing Investment Review.

Your work directly connects marketing spend data to the decisions that help Amazon invest wisely.

The NAS Marketing Finance team provides controllership and decision support for billions of dollars of marketing investments across Performance and Fixed marketing channels. We sit within North America Stores Finance and partner closely with marketing leaders, business intelligence teams, and finance organizations across Worldwide Amazon Stores. Our mission is to deliver accurate, timely financial insights that help Amazon invest its marketing dollars wisely.

The team is investing in automation and Generative AI to improve the speed and quality of our reporting. We value collaboration, intellectual curiosity, and a willingness to roll up your sleeves. If you want a high-visibility role where your work reaches the most senior leaders at Amazon, this is the team to join.

• Bachelor's degree in finance, accounting or related field
• 5+ years of finance, accounting, or related analytical field experience
• 5+ years of leading cross-functional initiatives that drive financial performance and strategy experience
• 5+ years of dissecting financial data and identifying patterns that support business strategy experience

• MBA, or CPA
• Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results
• 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)
• Knowledge of SQL/ETL

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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