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Sr. Business Intel Engineer, Stores Tech Finance
Amazon
Accounting & Finance
Seattle, WA, USA
Posted on Dec 12, 2025
Description
This an exciting opening to join the Stores Tech Finance (STF) Team to support Amazon's Shopping Finance organization. We are looking for a Business Intelligence Engineer to lead data analytics and drive critical product decisions for Shopping organization. You will perform multiple large, complex, and business critical analyses that will inform Shopping product design and business priorities. You will design and build business intelligence to allow routine inspection and deep business understanding as Shopping expands to more use cases and surface areas. Keeping a department-wide view, you will focus on the highest priorities and constantly look for scale and automation, while making technical trade-offs between short term and long term needs. In this role, you will partner with data engineers, product managers, software engineers, economists, and applied scientists, while being a key member of Shopping leadership team.
We’re looking for a driven individual who loves working with BI tools, is comfortable accessing and working with data from multiple sources, can automate business critical reports and can partner with internal stakeholders to solve complex and broad business problems with analytically derived solutions. The successful candidate has a strong passion for data and analytics, is a self-starter, comfortable with ambiguity, and has ability to work in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.
Key job responsibilities
1. Interface/interact with business & finance customers, gathering requirements and delivering complete BI solutions. Helps define the team's BI strategy.
2. Own the design, development, and maintenance of metrics, reports, dashboards, etc. to drive key business decisions across multiple teams.
3. Continually improve ongoing reporting and processes, automating, scaling or simplifying self-service support for customers.
4. Write high quality code to retrieve and analyze our large and complex data sets.
5. Identify patterns in our data and use these insights to make data-driven recommendations to drive topline growth and to improve profitability.
6. Develop an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business.