Amazon Business Intelligence Engineer II EU Supply Chain Network Planning 

Luxembourg, Luxembourg 

156681999

- You will support the Supply Chain network planning team by building, optimizing and maintaining BI solutions that use data sets, queries, reports, dashboards and analyses to improve the efficiency and speed with which long term planning decisions can be taken. You will seek input and guidance from team members on both the technology required and the business need to develop end products that enable effective, data-driven business decisions.- You will be required to develop strategies for querying, processing, persisting, analyzing and presenting data. You should be proficient in SQL and know how to maintain and refine complex ETL. You should be able to write secure, stable, testable, maintainable code with minimal defects and automate manual processes where possible, with the help of industry analytics visualization tools (e.g. Excel, Tableau/QuickSight). This work is critical to maintaining accurate reporting mechanisms that are shared with multiple stakeholder teams.
- You will develop and own algorithms that automate network planning and FC launch recommendations, including but not limited to inventory transfer algorithm. Requirement is to be proficient in automation processes and scripting.
- You will partner with peer BIEs and work cross-functionally across teams than cover the breadth of long-term Network Planning to short-term Launch Execution. As part of this role you will participate in design, scoping, and prioritization discussions for technical projects that support these teams.
Key job responsibilities
Key responsibilities include -
- Designing and implementing complex data models, developing advanced analytics solutions, and creating insightful dashboards and reports.- Translating business requirements into technical specifications, conducting in-depth data analysis, and communicating findings to both technical and non-technical stakeholders.

- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with SQL
- Experience in the data/BI space