Job Description
Join the Amazon Web Services (AWS) Finance team! Amazon seeks a Senior Financial Analyst to play a key role on our AWS Specialist and Partner (ASP) Finance team supporting the Worldwide Specialist Organization (WWSO). WWSO is responsible for providing deep technical expertise and hands-on support for customers on the AWS platform. As part of the Data & AI Go-to-Market (GTM) Finance team, you will gain unparalleled exposure to Amazon"s fastest-growing AI and Machine Learning services-including Amazon Bedrock, SageMaker, and generative AI-while shaping the financial strategy behind how AWS brings these technologies to customers worldwide. This is a unique opportunity to sit at the intersection of finance and frontier AI development, where your analytical work will directly influence investment decisions and go-to-market strategy for the most transformative technology of our generation. We are looking for candidates with a high degree of intellectual curiosity, a passion for understanding how transformative AI technologies create business value, the ability to establish/enhance governance mechanisms, and drive planning, forecasting, and reporting rhythms.
Key job responsibilities
- Serve as a finance partner to WWSO leaders in the Data & AI space-providing financial support, driving business insights, and developing deep understanding of how Data and AI services drive revenue growth and customer adoption
- Deep dive drivers of monthly and quarterly variances in revenue and expense metrics across Data and AI services (e.g., Amazon Bedrock, SageMaker, generative AI), providing key insights to stakeholders to inform operating strategies
- Help manage operating expense budgets for WWSO, ensuring spend remains on plan and the business stays on track against financial targets
- Lead maintenance of existing and development of new financial reports and advanced analytical tools that aid key decision-making
- Lead process improvement and automation projects to scale reporting-including leveraging AI-powered tools and analytics-collaborating cross-functionally with service finance and sales operations teams
- Perform ad-hoc analysis, write financial documents, build comprehensive tables/reports, and support cross-functional projects
- Gain firsthand exposure to AWS"s AI/ML go-to-market strategy, including product launches, customer adoption patterns, and competitive dynamics in the evolving AI landscape
- Partner with AI service teams and specialist sellers to understand how AI creates customer value, translating technical innovation into financial narratives
Numbers & Facts
| Location | Seattle, WA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
About Company
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
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
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