Are you passionate about building foundational technology that transforms how the world's largest e-commerce company manages its supply chain? At Amazon's SCOT Inbound Systems organization, we believe replenishment is a foundational lever for delivering customer trust, improving operational efficiency, and accelerating Amazon's flywheel at scale. We are seeking a Sr. Business Intelligence Engineer to lead our vision of creating a globally extensible, intelligent supply chain platform.

Our team leads the unification of replenishment logic and systems across Amazon's Grocery and Core domains. We specialize in Amazon's hub-and-spoke replenishment model, optimized for regional networks serving high-velocity, in-stock-sensitive inventory. Our systems enable sophisticated capabilities including multi-stop routing, temperature- and bin-specific placement, packaging-aware allocation, and truck-level planning that accounts for time zone constraints and cross-temperature fungibility.

The successful candidate will have strong quantitative data mining and modeling skills and be comfortable working on new and sometimes ambiguous problems from concept through to execution. They will have strong communication and leadership skills, will be able to collaborate with other teams (e.g. software development, business owners, product managers) and to present findings to senior audiences to drive business improvements. As well we expect this candidate to raise the bar on any of the following categories: Data Warehousing, Data Architecture, Performant Self Service Toolsets and Data analytics. Candidate might be willing to work with the others BIEs in order to solve organizational problems at scale and setting the grounds of a healthy data products offer while delivering what is required by business.


Key job responsibilities
- Performing complex analysis to understand the behavior of grocery supply chain systems, identify the root cause of system / process issues and provide insight on potential solutions.
- Building audits (analytical products) to identify trend breaks or defects at scale for millions of products and multiple marketplaces globally
- Assessing the end-to-end suite of audits and identifying opportunities for enhancements and simplification, working with other audit owners
- Creating new solutions to automate the business process of identifying and resolving defects (e.g. through metric dashboards and automated alarms, self service dashboard, Single source of truth tables)
- Supporting the improvement of the automated audit workflow system: integrating new audits and providing input on the future developments/roadmap
- Developing dashboards and insight products
- Fostering culture of continuous engineering improvement through blueprints, mentoring, feedback, and metrics