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Snr. Business Intelligence Engineer

Posted: 3 Feb 2021 Closes: 5 Mar 2021
LU, Luxembourg Competitive
Permanent & Full-time AMZ_1426310

DESCRIPTION

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?
Amazon Transportation Services is looking for people who strives to support the business with innovative Business Intelligence solutions. We are large and rapidly growing transportation organization which handles the Amazon packages across the network to ensure they reach our customers on time.
You will be part of the Business Intelligence team as part of the central Tech teams who support the operations across the EU geography.

We are looking for a Business Intelligence Engineer to help setup and deliver robust, structured reporting, analytics and models for the Air, Line-haul and Sortation and other support teams in the transportation area 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, are proficient/advanced in 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 Senior Manager, working intensely with his (larger) project team. 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 fulfil the Amazon motto to "Work Hard. Have Fun. Make History".
Key responsibilities
· Analysis of business requirements and translation into technical requirements.
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· Independent realization of requirements for Business Intelligence and custom software development products
· Design, develop and maintain scalable, automated, user-friendly systems, reports, and dashboards, etc. that will support our analytical and business needs
· Creation of test cases and guidance of business stakeholders within the testing process
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· Presentation of solutions and implemented features within weekly sync up with business stakeholders
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· Ownership of maintenance and error handling of deployed solutions.
· Leading the design, development, and management of our analytical tools and reporting.
· Provide thought leadership and business analysis support as needed. The successful candidate will demonstrate strong business acumen, experience in developing reporting and analytical infrastructures, strong communication skills, an ability to work effectively with cross functional teams, and an ability to work in a fast paced and ever-changing environment.
· 1 - 2 main projects in parallel
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· Focus on project delivery

BASIC QUALIFICATIONS

· Bachelor's/Master's degree in a quantitative field such as Information Systems, Computer Science, Operations Research, Statistics, Mathematics etc.
· 5+ years of experience as a Business Intelligence Engineer, Business Analyst, Data Engineer, or similar roles
· Proficiency with SQL and programming languages with a focus on data analytics (Python, R, Java etc.)
· Expertise in modern data warehousing techniques (dimensional data modelling, experience with ETL, etc.)
· Proven expertise in building reports and BI analysis with tools such as Tableau, QlikView, SAP Business Objects etc.
· Excellent written and verbal communications skills
· Ability to work independently in a fast-paced and rapidly changing environment
· Strong analytical skills, a passion for metrics and figures, you have very high attention to details and you like to structure and organize things so that they make sense

PREFERRED QUALIFICATIONS

· Experience in the transportation and operations either from a business or technical position
· Experience with AWS Services and products (S3, Redshift, AuroraDB, DynamoDB, Lambda, EC2 etc.)
· Experience in Data Science and Machine Learning
· Experience in Software development, DevOps and software frameworks (Django, React etc.)
· Ability to own and lead workshops and weekly status updates with business stakeholders

Amazon

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