Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Amazon Business Intelligence Engineer, XFN (Cross-Border Fulfilment Network) in Luxembourg, Luxembourg

Description

EU INTech XFN (Cross-Border Fulfilment Network) is looking for a BIE, to support the growth of the XFN Program.

As a BIE, you will collaborate with business partners to identify the opportunities for XFN selection growth, as well as with your tech team to shape the product roadmap. You will be in charge of creating and evolving dashboards, as well as reporting. You will also assist your team with problem or defect detection, correction, and, preferably, prevention.

You will work on a team of SDEs, DE, TPMs, PMT and SDMs and you will be the only BIE on the XFN team, but you will also collaborate with BIEs from business teams and sister teams. It is uncertain whether the number of BIEs on the team will increase over the time, and we cannot guarantee it.

As usual in Amazon, we don't dictate the tech tools you will use, but you will find an environment with mainly quicksight for data visualization, AWS analytics products like Redshift, S3, SageMaker, Lambda, and BDT internal tools (Hoot, Datanet, Cradle).

We are open to hiring candidates to work out of one of the following locations:

Luxembourg, LUX

Basic Qualifications

  • Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

  • Experience with data visualization using Tableau, Quicksight, or similar tools

  • Experience with data modeling, warehousing and building ETL pipelines

  • Experience in Statistical Analysis packages such as R, SAS and Matlab

  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

  • Experience with SQL

  • Experience in the data/BI space

Preferred Qualifications

  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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.

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