Sr. Financial Analyst, Sponsored Products & Brands FP&A

Are you ready to own worldwide planning and analysis for one of the largest advertising businesses in the world? Amazon is seeking a Sr. Financial Analyst to drive forecasting and financial controllership for a multi-billion-dollar, double-digit-growth business within our advertising organization. You'll have direct visibility to senior finance and business leaders, and real influence over the mechanisms used to forecast and shape our business. This role offers a unique opportunity to combine advanced financial modeling with strategic partnership, where your variance analysis and insights will directly inform decision-making at the highest levels. You'll work with complex data, solve challenging problems in a fast-paced environment, and proactively improve financial processes while collaborating with cross-functional partners across product, finance, and business teams.

Key job responsibilities

• Own end-to-end forecasting processes for Sponsored Products and Sponsored Brands, proactively identifying variance drivers, understanding their implications, and proposing solutions to improve mechanisms and controllership
• Build and maintain financial models and reports using Cognos and other financial systems, ensuring accuracy through regular audits and diving deep into data discrepancies to identify root causes and implement fixes
• Conduct complex variance analysis against prior guidance, plan, and prior year results, translating data into clear insights and recommendations for senior finance and business leaders
• Partner with Central FP&A, Advertising product teams, and business stakeholders to support planning cycles including guidance, Monthly Financial Review, Operating Plan 1, and Operating Plan 2
• Actively leverage and advance AI integration and automation using Amazon's plethora of AI tools into our pre-existing processes as we invent new ways to work.
• Work nimbly with ambiguity to respond to requests from senior leadership with immediate ownership, synthesizing information quickly and communicating findings clearly to drive data-driven decision making

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