Description

Come build the future as a Business Intelligence Engineer at Amazon, where you will be inspired working alongside best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world.

As a Business Intelligence Engineer in the Network Design Insights (NDI) team within EU STEP team, you will help drive data-driven decision-making across Amazon's transportation network design. NDI empowers business and technology teams to maximize network performance while optimizing effort, delivering actionable intelligence that spans the full project lifecycle from initial conception through post-implementation analysis. You will work on problems that directly influence how millions of packages reach customers faster, more reliably, and more cost-efficiently across Europe.

In this role, you will build and maintain analytical frameworks, dashboards, and data pipelines that measure the impact of network design decisions on key performance indicators such as delivery speed, network attainment, and cost. You will support flagship programs including network optimization cycles, fill rate recovery, and AI-driven analytics tools. Success in this role requires strong technical skills combined with the curiosity to understand complex logistics systems and the ability to translate data into clear, actionable business insights.

Key job responsibilities
- Build and maintain data pipelines, dashboards, and reporting tools (SQL, Python, QuickSight/Tableau) to provide visibility into network design KPIs (speed, attainment, cost, fill rate)
- Conduct deep-dive analyses to identify network defects, quantify the impact of design changes, and surface optimization opportunities across EU transportation
- Support network optimization cycles (CIP) by running modelling tools, tracking expected vs. actual performance, and producing post-implementation assessments
- Collaborate cross-functionally with network design, science & technology, operations, and finance teams to ensure analytical outputs drive business decisions
- Contribute to the development and maintenance of core team metrics and automated monitoring mechanisms (WBRs, alerts, benchmarking systems)
- Produce clear, structured analyses and presentations that make complex logistics data accessible to both technical and non-technical stakeholders