Senior Financial Analyst, Aws Competitive Intelligence & Sales Analytics

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

Senior Financial Analyst role focused on competitive intelligence and sales analytics for AWS. The role involves building financial models, analyzing public company disclosures, and supporting sales pipeline analysis. A key aspect is leveraging Generative AI as a daily production tool to build and maintain scalable mechanisms for executive-quality outputs, including co-producing a GenAI-powered intelligence newsletter.

What you'd actually do

  1. Build, maintain, and refine financial models that estimate cloud service providers’ revenue, margins, backlog, and capital expenditure metrics using publicly available information (SEC filings, earnings transcripts, analyst reports, and news sources)
  2. Support earnings analysis of other companies’ public financial disclosures and synthesize key takeaways for distribution to senior AWS leadership
  3. Co-produce a daily GenAI-powered intelligence newsletter distributed to Amazon leadership – this includes engineering and iterating on AI prompts, performing daily human editorial quality control, and ensuring the newsletter consistently meets executive-level standards for accuracy, relevance, and tone
  4. Analyze AWS sales pipeline data to identify predictive revenue signals, modeling the relationship between pipeline health metrics and realized revenue to support operating plan development (OP1/OP2) and guidance processes
  5. Build reporting mechanisms that track pipeline-to-revenue conversion rates

Skills

Required

  • 3+ years of tax, finance or a related analytical field experience
  • 3+ years of dissecting financial data and identifying patterns that support business strategy experience
  • 3+ years of contributing to cross-functional initiatives that drive financial performance and strategy experience
  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
  • Comfort with ambiguity
  • Intellectual curiosity about public company financials
  • Ability to synthesize disparate data sources

Nice to have

  • MBA, or CFA
  • Experience effectively gathering information from multiple data sources
  • 3+ years of experience analyzing public company financial statements (10-K, 10-Q, earnings transcripts) and deriving estimates from limited disclosures
  • Hands-on experience using Generative AI tools to accelerate professional workflows such as summarizing large volumes of text, extracting structured data from unstructured sources, or automating repetitive tasks

What the JD emphasized

  • GenAI as a daily production tool
  • build and maintain scalable mechanisms
  • executive-quality outputs
  • engineering and iterating on AI prompts
  • human editorial quality control
  • consistently meets executive-level standards