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Senior Financial Analyst, AWS Competitive Intelligence & Sales Analytics

Amazon - Seattle, Washington, USA

Posted Apr 13, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Mental health support
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Salary
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401(k) match
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Market context

Median wage (BLS OEWS)
$111,944 national median
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

10% below the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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Assessment
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Deadline
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Where they hire

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About this role

Senior Financial Analyst, AWS Competitive Intelligence & Sales Analytics Seattle, Washington, USA 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

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