Senior Financial Analyst, AWS Competitive Intelligence & Sales Analytics

Amazon

Seattle, WA

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JOB DETAILS

SKILLS

Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Auditing, Budget Reporting, Business Administration, Business Intelligence, Business Strategy, Business Support, Capital Expenditure (CAPEX), Chartered Financial Analyst (CFA), Cloud Computing, Competitive Analysis/Strategy, Computer Science, Computer Systems, Corporate Finance, Cross-Functional, Data Sets, Economics, Finance, Financial Analysis, Financial Charts, Financial Disclosure, Financial Management, Financial Mathematics, Financial Metrics, Financial Modeling, Financial Operations, Frequently Asked Questions (FAQ), International Sales, Investor Relations, Leadership, Marketing, Mathematics, Metrics, News Reporting, Newsletter, Public Finance, Quality Control, Research Skills, Revenue Forecasting, SEC Filings, Sales, Sales Analysis, Sales Operations, Sales Pipeline, Sales Support, Scalable System Development, Statistics, Structured Data, Translation Services, Variance Analysis, Website Conversion

LOCATION

Seattle, WA

POSTED

30+ days ago

Description 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. Key job 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 A day in the life - 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. - 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 field Preferred 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't 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 https://amazon.jobs/en/benefits . USA, NY, New York - 73,600.00 - 128,800.00 USD annually USA, WA, Seattle - 82,700.00 - 117,100.00 USD annually

About the Company

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1994

WEBSITE

http://Amazon.com/militaryroles

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