Business Intelligence Engineer
Luxembourg, LUX
il y a 2j

Job summary

Are you excited by being able to have Amazon deliver items to your front door within hours? Being able to pick up your groceries already bagged up, with everything you want in-stock?

Are you fascinated by Amazon’s ability to combine your online shopping into fewer boxes and shipments? All of these amazing customer experiences are possible because of Inventory Placement we get the right inventory to the right place, at the right time!

We are thrilled to have a Business Intelligence Engineer opening for you within S&OP, Placement, Capacity & Buying organization! As part of the team you’ll work on new systems we are building within Inventory Placement.

Our mission is to optimize placement decisions worldwide. As part of the team, you will be directly responsible for ensuring the integrity and efficiency of our system decisions, through quantitative analysis, deep dives, metrics, and partnership with your counterparts in Product Management and Software Development.

As a member of our team you’ll be able to contribute directly to our customer’s experience with the Amazon supply chain, as well as reduce fulfillment cost and maximize free cash flow, across all worldwide marketplaces! But wait, there’s more! Inventory Placement has dedicated Analytics, Engineering, Operational Research and Machine Learning resources and you’ll get the unique opportunity of working with them as part of our team.

Key job responsibilities

Building and maintaining dashboards with product metrics

Owning weekly anecdotes

Conducting end to end deep dives on product quality and integrity.


  • Experience in data mining / analysis, and working extensively in large scale databases and data warehouses (3+ years)
  • Experience in advanced SQL operations (3+ years)
  • Excellent written and verbal communication skills with the ability to present complex information in a clear and concise manner to stakeholders.
  • Quick learner with positive can do attitude and solid professionalism
  • Bachelors degree in mathematical, statistical, analytical, or data oriented field.

  • Masters degree in mathematical, statistical, or data oriented field.
  • Experienced in R and .
  • Experienced in Machine Learning modelling and applications to generate production system inputs.
  • Understanding of how software development is employed in production optimization decisions.
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