Amazon Business Intelligence Engineer EU Supply Chain Engineering 

Luxembourg, Luxembourg 

446604268

Additional knowledge of programming languages like Java, Python & AWS tools is preferable.This role will be of your interest if:• You are a self-starter and like to architect systems involving large scale data processing components and Machine learning/economic and optimization models, workflow orchestration..
• You like to work on innovative & impactful initiatives ($100M+ savings) with faster growth.
• You effectively articulate technical challenges and solutions to non-technical audiences.
• You like to experiment with whatever technology needed to get the job done.
• Like the unique opportunity to work in engineering team, while staying close to the business side of the problem.
• Use Test-Driven Development and Continuous Deployment.
• Expand and optimize our supply chain systems to support a variety of emerging business initiativeKey job responsibilities
• Build models & design systems that enhance Inventory Placement strategy for same day business.
• Drive placement strategy improvements using data modeling and analysis to optimize inventory 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.

- 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