The AWS Sales FP&A team is a central financial planning and analysis function within Amazon Web Services Finance organization. We partner with the AWS sales organization to tell the story of AWS revenue performance from the field and customer point of view. Our team owns revenue reporting, short- and long-term planning, and insights generation. We are actively embracing AI tools to modernize our reporting capabilities and improve the quality of our insights. Our work directly informs how senior AWS and Amazon leadership understands business performance, making this a unique opportunity to gain broad exposure to cloud computing with high visibility while developing your financial expertise.
Requirements
3+ years of tax, finance or a related analytical field experience
3+ years of contributing to cross-functional initiatives that drive financial performance and strategy 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), or Bachelor's degree and 3+ years of quantitative role (engineering, process re-engineering, quality assurance) experience
4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
MBA, or CPA
Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
4+ years of applying key financial performance indicators (KPIs) to analyses experience
4+ years of creating process improvements with automation and analysis experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Additional Information
Join the Amazon Web Services (AWS) Finance team! We are looking for entrepreneurial, analytical, and creative leaders to help us shape the future of cloud computing finance. If you want to join a fast-paced, innovative team responsible for providing financial insights that drive the performance of a diverse, global sales organization, this is the place for you.
The AWS Sales Financial Planning and Analysis (FP&A) team is looking for a Sr. Financial Analyst to play a pivotal role in influencing decision-making and planning at the highest levels of AWS Finance. In this role, you will own revenue reconciliation building and maintaining new frameworks to tell the story of what drives AWS revenue. You will partner with stakeholders across sales, tech, and finance organizations to deliver critical insights that inform our business. You will leverage financial modeling, AI tools, and communication abilities to create insights that influence planning cycles and inform leadership discussions.
Key job responsibilities
- Develop and own end-to-end revenue reporting that tracks anomalies in revenue reporting.
- Deliver financial analysis that improves the accuracy of revenue estimates for the sales organization.
- Create high-quality reporting deliverables (weekly and monthly) that provide actionable insights.
- Partner with finance teams across multiple geographies and business units to reconcile estimates, identify revenue drivers, and ensure narrative consistency.
- Build automated solutions for revenue reporting leveraging AI capabilities.
A day in the life
Your day begins reviewing revenue performance data and preparing leadership updates. You will collaborate with partners across sales and finance organizations to understand customer dynamics and validate recent trends. Throughout the day, you will improve financial models, build analytical tools to modernize reporting capabilities, and create insightful analyses that explain business performance. You will join meetings with senior finance leaders to present your recommendations, and dedicate time to developing new AI capabilities and best practices for revenue reporting and analysis across the team.