Business Intelligence Engineer, Supply Chain Placement Analytics

Have you ever ordered a product on Amazon and wondered how it got delivered to you so fast? In the Amazon EU Supply Chain team, we are passionate to drive innovation on behalf of our customers to improve product availability and speed while reducing costs and carbon emissions. This role will give you a unique view into Amazon processes and systems, allowing you to collaborate with operational, tactical/strategic planning and technical teams. If you are an advocate to understand complexity in detail to drive improvements at scale, with a proven track record of analyzing and diving deep in complex data to generate insights and business recommendations, we’d like to talk to you.This position is ideally based out of our EU Headquarters in Luxembourg.Key job responsibilities- Design and own the right set of metrics to evaluate, audit and improve efficiency of IXD processes and placement systems- Recommend improvements to the placement strategy using modelling and large datasets. You'll guide planning teams and other relevant stakeholders with regards to the mix of products to place in Amazon buildings, maximizing selection and reducing distance to customers- Partner with technology teams to define key priorities to accommodate growing business needs and implement your recommendation in production through smart configurations in Amazon systems- Develop the analytics required to visualize opportunities and measure success- Research, develop, document and present new opportunities to all levels of Supply Chain, Finance, FBA and Retail leadershipBASIC QUALIFICATIONS- 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 in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business