Senior Financial Analyst, AWS Competitive Intelligence & Sales Analytics

Amazon • Seattle, WA

2d

About The Position

Amazon Web Services (AWS) is a leading global cloud computing platform, and we're looking for a Senior Financial Analyst to join our Sales, Marketing, and Global Services (SMGS) Finance organization. In this role, you will operate at the intersection of competitive intelligence and sales analytics.

Your work will inform how AWS’s most senior leaders make multi-billion-dollar decisions, evaluate financial performance, and assess the health of our global sales pipeline. You will partner with a Principal Finance Manager. This role provides a rare opportunity to operate above the typical level of visibility for a Senior Financial Analyst. You won't be building budgets or variance reports. Instead, you'll be triangulating fragmented public data to help reveal opaque cloud services dynamics and translating volatile sales pipeline data into actionable signals.

This role spans two primary workstreams. First, you will support competitive intelligence by helping build and maintain financial models for major cloud service providers, conducting earnings analyses of other companies’ public financial disclosures, and contributing to intelligence products consumed by VP+ audiences—including co-producing a newsletter of deal and product news. Second, you will support sales pipeline analysis by modeling relationships between pipeline inputs and realized revenue outcomes.

This role requires comfort with ambiguity, intellectual curiosity about public company financials, and the ability to synthesize disparate data sources—news reports, analyst research, SEC filings, and internal datasets—into a coherent analytical narrative. You should also be excited about leveraging GenAI as a daily production tool, not just for experimentation, but to build and maintain scalable mechanisms that reliably deliver executive-quality outputs. You will develop a deep understanding of cloud industry economics, capital expenditure strategies, and business positioning that few finance professionals have the opportunity to gain.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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)
• Support earnings analysis of other companies’ public financial disclosures and synthesize key takeaways for distribution to senior AWS leadership
• 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
• Create sensitivity analyses and scenario models that quantify AWS's position across various financial metrics
• 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
• Build reporting mechanisms that track pipeline-to-revenue conversion rates
• Prepare financial summaries, charts, tables, and FAQ-style documents that distill complex analyses into clear, executive-ready formats
• Partner with cross-functional teams including Investor Relations and AWS Sales Operations to align on assumptions, validate estimates, and ensure analytical consistency

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level