Senior Financial Analyst, Selling Partner Services, Fp&a

Amazon Amazon · Big Tech · Seattle, WA · Finance & Accounting

This role is for a Senior Financial Analyst focused on Headcount and Operating Expense FP&A within Amazon's Selling Partner Services. The role involves enterprise-wide impact through establishing reporting standards, influencing strategic decisions, and pioneering AI-powered financial analytics and automation. Key responsibilities include leading reporting, forecasting, designing automated dashboards, and identifying process automation opportunities. While the role emphasizes AI tool development and adoption for FP&A, it does not involve building core AI models but rather leveraging AI tools for financial analysis and automation.

What you'd actually do

  1. Lead Headcount and OpEx month end reporting for WW SPS for VPs and Directors across Business and Finance leadership, by owning the end to end process of reporting and surfacing key insights and commentaries in monthly financial reviews to drive business decisions
  2. Maintain and improve existing finance processes to ensure data integrity and insightful analysis.
  3. Design and maintain automated dashboards to track and analyze headcount metrics, operational expenses, and commentaries
  4. Lead reporting, planning and forecasting for the SPS Finance org including owning monthly reporting, and supporting SPS Finance Director with CPH modeling.
  5. Create compelling data visualizations and presentations to communicate headcount forecasts, and operational expense analyses to leadership

Skills

Required

  • Bachelor's degree in finance, accounting, business, economics, or a related analytical field
  • 3+ years of building financial and operational reports/data sets that inform business decision-making experience
  • 3+ years of creating process improvements with automation and analysis experience
  • Experience with cube engine tools (e.g. TM1, Cognos or Essbase), SQL and Data warehouse

Nice to have

  • Experience in financial modeling, P&L management or analysis
  • 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
  • MBA, or CPA
  • 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)
  • Experience with generative AI tools, prompt engineering, or building AI-powered workflows for finance use cases.

What the JD emphasized

  • AI-powered financial analytics
  • automation
  • generative AI tools
  • prompt engineering
  • building AI-powered workflows