
Senior Financial Analyst, AWS Competitive Intelligence & Sales Analytics
Amazon Web Services (AWS), Seattle, WA, United States
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, informing AWS’s senior leaders on multi‑billion‑dollar decisions, evaluating financial performance, and assessing the health of our global sales pipeline. You will partner with a Principal Finance Manager and support competitive intelligence and sales pipeline analysis. The role requires comfort with ambiguity, intellectual curiosity about public company financials, and the ability to synthesize disparate data sources into a coherent analytical narrative.
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 – including 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
Build and maintain competitive intelligence products for VP+ audiences, including auditing a daily GenAI‑powered newsletter.
Analyze AWS sales pipeline data to isolate predictive revenue signals from noise, supporting revenue forecasting.
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.
3+ years of contributing to cross‑functional initiatives that drive financial performance and strategy.
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.
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.
Base salary range:
USA, NY, New York - 73,600.00 - 128,800.00 USD annually
USA, WA, Seattle - 82,700.00 - 117,100.00 USD annually
Company: Amazon.com Services LLC
Job ID: A10390359
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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 – including 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
Build and maintain competitive intelligence products for VP+ audiences, including auditing a daily GenAI‑powered newsletter.
Analyze AWS sales pipeline data to isolate predictive revenue signals from noise, supporting revenue forecasting.
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.
3+ years of contributing to cross‑functional initiatives that drive financial performance and strategy.
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.
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.
Base salary range:
USA, NY, New York - 73,600.00 - 128,800.00 USD annually
USA, WA, Seattle - 82,700.00 - 117,100.00 USD annually
Company: Amazon.com Services LLC
Job ID: A10390359
#J-18808-Ljbffr