Amazon Business Intel Engineer Global Procurement BI 

United States, Texas, Arlington 

402563356

This role will support our Global Procurement Central Services (GPCS) pillar. GPCS has a wide range of responsibilities in support of consumables management and overall end-to-end purchasing process across Amazon Stores Operations.Key job responsibilities
• Manage a portfolio of BI solutions related to GPCS' performance management. This includes working with leadership to maintain a pipeline of high-impact projects. BIE will communicate effectively progress and blockers with the project team and sponsors.
• Support daily ordering of $5B+/year in consumable items (packaging and others) per year to support 1k+ Middle Mile sites and Fulfillment Centers globally. This includes demand planning, ordering, inventory tracking, requisitioning, purchase order and invoice management.
• Support our Shared Services and Compliance teams in charge of managing the vendor onboarding and the ordering (Purchase Requisition to Purchase Order) cycle for ~1M yearly transactions across $40B in spending while ensuring adherence to all procurement policies and standard work.
• Identify high impact business problems and present written recommendations on solutions that will drive execution excellence.
• Develop ETL jobs and analytical layers that require in depth knowledge in scripting and OLAP concepts.
• Develop optimized scripts and visualizations that are fast and easy to comprehend.
• Adopt existing best practices or contribute to improving them; solution design, development, validation and documentation practices.A day in the life
At Amazon, we tackle some of the biggest, and most complex problems available. In light of this scope, a Business Intelligence Engineer manages requirements from a large number of diverse customers, across functional groups, and actives those groups to action through thought leadership and application of innovative supply chain strategies.

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining