Amazon-posted 3 months ago
$60,200 - $128,800/Yr
Full-time • Mid Level
Bellevue, WA

Want to shape the future of Artificial General Intelligence (AGI) at Amazon? Generative AI presents a generational opportunity to redefine engineering velocity, and the AGI Data Services (AGI DS) Finance team is seeking a Senior Financial Analyst to partner with a fast-scaling business at the center of AGI development. The AGI DS Finance team provides the financial foundation for building AGI. In this role, you will support strategy in a high-growth area, developing models and insights that help bring advanced AI to life. You’ll collaborate with diverse teams, drive smarter decisions, and gain exposure to how Amazon builds and operates generative and AGI systems. This role blends financial expertise with intellectual curiosity, supporting decisions that improve efficiency, scale, and investment in the future of AI. You’ll contribute to both strategic planning and day-to-day finance while gaining visibility with senior leaders and opportunities to grow your career.

  • Support monthly close and planning cycles for AGI DS with a focus on headcount, cost, and pricing reporting
  • Develop financial models to evaluate trade-offs, support strategic planning, and guide investment in new GenAI services
  • Identify, quantify, and drive efficiency and cost-savings initiatives across AGI DS workflows and customers
  • Partner with the business to design and implement KPIs, dashboards, and reporting solutions that enable faster, more effective decision-making
  • Build and maintain in-depth knowledge of AGI DS initiatives across data generation, annotation, and model review services
  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
  • 3+ years of building financial and operational reports/data sets that inform business decision-making experience
  • 3+ years of tax, finance or a related analytical field experience
  • MBA, or CPA
  • Experience with cube engine tools (e.g. TM1, Cognos or Essbase), SQL and Data warehouse
  • 4+ years of applying key financial performance indicators (KPIs) to analyses experience
  • Medical benefits
  • Financial benefits
  • Equity options
  • Sign-on payments
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