Job Title

DescriptionAmazon 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 AWSu2019s 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 companiesu2019 public financial disclosures, and contributing to intelligence products consumed by VP+ audiencesu2014including 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 sourcesu2014news reports, analyst research, SEC filings, and internal datasetsu2014into 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. Key job responsibilities u2022 Build, maintain, and refine financial models that estimate cloud service providersu2019 revenue, margins, backlog, and capital expenditure metrics using publicly available information (SEC filings, earnings transcripts, analyst reports, and news sources) u2022 Support earnings analysis of other companiesu2019 public financial disclosures and synthesize key takeaways for distribution to senior AWS leadership u2022 Co-produce a daily GenAI-powered intelligence newsletter distributed to Amazon leadership u2013 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 u2022 Create sensitivity analyses and scenario models that quantify AWS's position across various financial metrics u2022 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 u2022 Build reporting mechanisms that track pipeline-to-revenue conversion rates u2022 Prepare financial summaries, charts, tables, and FAQ-style documents that distill complex analyses into clear, executive-ready formats u2022 Partner with cross-functional teams including Investor Relations and AWS Sales Operations to align on assumptions, validate estimates, and ensure analytical consistency A day in the life u2022 In this role, you will build and maintain competitive intelligence products for VP+ audiences, including auditing a daily GenAI-powered newsletter. You will analyze AWS sales pipeline data to isolate predictive revenue signals from noise, supporting revenue forecasting. u2022 You will have visibility to the AWS Finance Directors and support Sales Finance and Sales Operations teams.Basic Qualifications- 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 fieldPreferred Qualifications- 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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at . USA, NY, New York - 73,600.00 - 128,800.00 USD annually USA, WA, Seattle - 82,700.00 - 117,100.00 USD annually