Amazon Business Intelligence Engineer II PRISM - 

Luxembourg, Luxembourg 

159837142

As a Business Intelligence Engineer II, you'll lead data-driven decision-making for Amazon's EU Middle Mile network optimization. You'll work with advanced tools and technologies to analyze complex datasets, develop innovative solutions, and directly impact network performance. Key responsibilities include:- Orchestrating end-to-end network design processes, from data collection to implementation
- Generating critical KPIs and strategic insights for senior leadership
- Developing and automating advanced analytics and reporting solutionsKey job responsibilities
- Developing automated analytics solutions to evaluate network performance across cost, speed, and sustainability metrics
- Creating scalable reporting frameworks to track and validate network design outputs
- Partnering with stakeholders to translate complex business requirements into actionable insights
- Implementing innovative analytical approaches to identify network improvement opportunities
- Supporting data-driven decision making for peak and off-peak network planning
- Contributing to the continuous improvement of our optimization tools and processesA day in the life
No two days are the same, but they might include a mix of:
- Collaborate with network planners to understand specific scenario requirements (e.g., evaluating different approaches to handle peak volume surges)
- Deep-dive into historical network performance data to establish baseline metrics and identify key variables
- Design and implement analytical frameworks to compare multiple network design options across cost, speed, and sustainability metrics
- Use and refine automated validation tools to assess scenarios against established acceptance criteria
- Visualize the trade-offs between different network designs
- Partner with stakeholders to refine evaluation methodology and success metrics
- Present scenario analysis findings to senior leadership, highlighting key recommendations and potential risks

- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in the data/BI space