Business Intel Engineer -Fleet (Luxembourg)

The goal of Amazon Logistics is to build a world class last mile operation. Amazon aims to exceed the expectations of our customers by ensuring that their orders are delivered quickly, accurately, and in the most cost effective way as possible. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build a world-class logistics practice, this is your chance to make history.

Amazon Logistics is seeking Business Intelligence Engineer to work in the EU Fleet Analytics Team. The Fleet Analytics team supports the scaling of fleet through standardization and automation while introducing data driven approaches that drive efficiency in fleet planning and operations.

The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. An expert with data modelling, ETL design and business intelligence tools, has hand-on knowledge on columnar databases such as Redshift and other related AWS technologies. A self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail) and enjoys working in a fast-paced team that continuously learns and evolves on a day to day basis.

Basic Qualifications

• 6+ years of experience in operations supply chain analysis/ financial analysis, business process analytics, including data warehousing and business intelligence tools, techniques and technology
• 4+ years of experience delivering high quality BI products in a fast pace environment and/or leading a high-performance BI and Data engineering team
• Good communication skills with both technical and business people. Ability to speak at a level appropriate for the audience. Experience applying these skills in both academic teaching environment and a business setting is a plus.
• Advanced proficiency in Microsoft Excel
• Technical Expertise: In-depth knowledge of Data modelling, warehousing and reporting platform(s); Hands-on experience in writing complex, highly-optimized SQL queries across large datasets; Experience of working with various scripting and programming languages (Python, R, JScript etc.)

Preferred Qualifications

• Masters Graduate with a Degree in Engineering, Finance, Supply Chain, Logistics, Computer Science or other quantitative area.
• Experience writing supply chain and inventory optimization models and applying optimization models in for strategic and tactical business decisions.
• Experience applying forecasting and data mining techniques in an industrial setting.



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 ( to know more about how we collect, use and transfer the personal data of our candidates.

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