• Experience in analyzing and interpreting data with Redshift, Oracle, No SQL etc.
• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, Quick Sight, Micro Strategy, Power BI) and statistical methods (e.g. t-test, Chi-squared)
• Experience with scripting language (e.g., Python, Java, or R)
• Experience with SQL

Are you passionate about data? Does the prospect of dealing with massive volumes of data excite you? Do you want to create the next-generation tools for intuitive data access for transportation operations?

We are looking for a Business Intelligence Engineer to help setup and deliver robust, structured reporting, analytics and models for the Air, Surface Transportation and Sortation teams in Europe. You will be a key contributor to shaping our strategic innovation program by equipping the project teams with the insights into the operation performance.

You will have an eye for detail, proficient/advanced SQL/DW/Python and have a knack for solving challenging data and reporting challenges. The role requires you to feel comfortable working with and clearly communicating with other functional teams, regionally and globally.

The position will be based in Luxembourg. You will be reporting to a Business Intelligence Manager, working intensely with his (larger) project team, including Finance. The ideal candidate will be comfortable in a fast-paced, dynamic environment; will be a creative and an analytical problem solver with the opportunity to fulfill the Amazon motto to “Work Hard. Have Fun. Make History”.

Key job responsibilities

• Analysis of business requirements and translation into technical requirements. By support of senior colleagues integration into a working, stable and scalable system
• Independent realization of requirements for Business Intelligence and custom software development products
• Creation of test cases and guidance of business stakeholders within the testing process
• Presentation of solutions and implemented features within weekly sync up with business stakeholders
• Ownership of maintenance and error handling of deployed solutions
• 1 – 2 main projects in parallel
• Focus on project delivery
• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis

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.