Business Intelligence Engg II, EU SC Placement

Have you ever wondered how Amazon delivers so quickly, or if delivery speeds could improve even further? In the Amazon EU Supply Chain Placement Analytics & Engineering team, we drive innovation for our customers to enhance product availability and speed while reducing costs and carbon emissions. This role will give an unique view into Amazon Inventory Placement systems, processes, and operations, enabling collaboration with planning, operations, and technical teams. Among others, you will work to identify the optimal sortation strategy in our Inbound Crossdocks. If you excel at understanding complex systems and have a proven track record of analyzing data to generate insights and business recommendations at scale, we'd like to talk to you.

This position is based out of our EU Headquarters in Luxembourg.

Key job responsibilities
• Build and maintain metrics to evaluate and enhance Inventory Placement’s systems.
• Create analytical tools and processes to accelerate insights and automation.
• Drive placement strategy improvements using data modeling and analysis to optimize product spread across Amazon facilities, enhancing selection and reducing customer delivery distance.
• Collaborate with technology teams to define key priorities to accommodate growing business needs and implement recommendations through new features and/or configurations.
• Research, develop, document and present new opportunities to all levels of Supply Chain, Finance, Fulfilled By Amazon (FBA) and Retail leadership.

A day in the life
• Collaborate with a diverse team of Business Intelligence Engineers, Data Scientists, Program or Product Managers and Finance Analysts to develop effective metrics and analytical tools that address business goals.
• Partner with Business and Tech teams to prioritize impactful insights.
• Explore systems while performing anecdotes to understand concrete root causes.
• Scale findings from anecdotes to understand its impact and respective prioritization.
• Conduct data driven experiments to accelerate innovation.
• Perform analysis at scale with new metric cuts and/or statistical models.

Basic Qualifications

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience in the data/BI space
- Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

Preferred Qualifications

- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.