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Job description

Have you ever seen a smile on someone's face when a package from Amazon arrived only a day after ordering? Have you ever ordered a product on Amazon websites and when the box arrived wondered how you got it so fast? Have you asked yourself how it is possible for Amazon to deliver millions of packages across Europe?
Are you passionate about data? Do you want to create the next-generation tools for intuitive data access for transportation operations?

Then we want to hear from you.

We are looking for an experienced Business Intelligence analyst to help setup and deliver robust, structured reporting, analytics and models for the all the areas included in the Amazon Transportation Services (ATS) organisation, such Air, Line-haul and Sortation. You will be a key contributor to shaping our strategic streams by equipping the business with tools and insights to drive the different projects and take business decisions.
The growth of the business and the increasing complexity of the European transportation network make this role an exciting, interesting, and very challenging proposition.

You will have an eye for detail, are proficient/advanced in SQL/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.

Responsibilities and Duties
• You will be reporting to a Program Manager, working intensely with their (larger) project team.
• You 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".
• Creation and ownership of metrics/reporting/dashboards/financial models for the different Business reviews cycles.
• Participation in different project streams across ATS, giving visibility to data, metrics, trends to measure performance across the business units;
• Work on various analysis and benchmarking exercises to highlight new areas for opportunities, socializing and driving best practice and insights across the operational teams

BASIC QUALIFICATIONS

• Bachelor's/Master's degree in a quantitative field such as Information Systems, Computer Science, Operations Research, Statistics, Mathematics etc.
• 2+ relevant experience or MS with 1+ relevant experience - 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
Job Sector
Engineering
Job Position
Other
City/Town
Luxembourg
Postal Code
1840
Address
5 Boulevard Joseph II, 1840 Luxembourg Show on map
Post date
Closing date

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