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
Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)
3+ years of contributing to cross-functional initiatives that drive financial performance and strategy experience
MBA, or CFA
3+ years of experience working with sales pipeline or CRM data (e.g. Salesforce) and building models that connect pipeline metrics to revenue outcomes.
Hands-on experience using Generative AI tools to accelerate professional workflows such as summarizing large volumes of data, extracting structured insights from unstructured sources, or automating repetitive analytical tasks.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, WA, Seattle - 82,700.00 - 117,100.00 USD annually
Additional Information
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 sales pipeline analysis and revenue forecasting.
Your work will inform how AWS's most senior leaders 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'll be translating sales pipeline data into actionable signals that shape revenue guidance and operating plan development.
You will model relationships between pipeline inputs and realized revenue outcomes, build mechanisms that track conversion dynamics across segments and time horizons, and develop analytical frameworks that help leadership distinguish predictive signals from noise. Your analyses will support revenue forecasting.
This role requires comfort with ambiguity, intellectual curiosity about sales and revenue dynamics, and the ability to synthesize internal datasets into a coherent analytical narrative. You will develop a deep understanding of AWS's revenue engine, pipeline economics, and sales motion.
Key job responsibilities
- Analyze AWS sales pipeline data to identify predictive revenue signals.
- Build and maintain reporting mechanisms that track pipeline-to-revenue conversion rates across segments, geographies, and deal types.
- Develop sensitivity analyses and scenario models that quantify revenue outcomes under varying pipeline assumptions.
- Build automated, GenAI-powered reporting and analysis workflows that accelerate pipeline insight generation, including engineering and iterating on AI prompts to ensure outputs consistently meet executive-level standards for accuracy and relevance.
- Prepare summaries, charts, tables, and FAQ-style documents.
A day in the life
In this role, you will analyze AWS sales pipeline data to isolate predictive revenue signals from noise, supporting revenue forecasting. You will build and refine models that connect pipeline dynamics to financial outcomes, and prepare executive-ready materials that inform leadership decisions.
You will have visibility to the AWS Finance Directors and support Sales Finance and Sales Operations teams.
Amazon.com · Seattle, WA