Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you?

If so, the Supply Chain science team is for you. The team, based in Luxembourg and London is responsible for optimizing our Supply Chain, tackling problems such as inventory management and placement, warehouse flows optimization, demand forecasting and planning with uncertainty.

We are looking for a Business Intelligence Engineer who will be responsible to develop Data Analytics and Business Intelligence solutions to optimize our Pan European inventory management strategy, to maximize our Customer Experience and minimize our cost and carbon footprint.

You will partner with the worldwide scientific community to help design the optimal inventory management strategy in Europe. You will also collaborate with technical teams to support and audit inventory management and Fulfillment Center systems. Finally, you will also work with business and operational stakeholders to influence their strategy and gather inputs to solve EU specific problems.

To be successful in the role, you will need deep analytical skills and a strong scientific background. The role also requires excellent communication skills, and an ability to influence across business functions at different levels.

You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with technical, business and technical teams.

The job can be based in any of our EU offices.


Key job responsibilities
Your responsibilities will include:

Design and develop Business Intelligence and Data Analytics solutions to analyze our inventory management performance.

Develop, adapt and execute mathematical models tools to optimize our future inventory management.

Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize our EU Supply Chain.

Communicate data-driven insights and recommendations to diverse senior stakeholders through technical and/or business papers.- Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, OR, Engineering).
- Proficiency with SQL and programming languages with a focus on data analytics (Python, R, Java etc.).
- Proven expertise in data visualization platforms e.g., Tableau, QuickSight, QlikSense and PowerBI Expertise in modern data warehousing techniques (dimensional data modelling, experience with ETL, etc.).
- Sharp analytical abilities, excellent oral and written communication skills.
- Ability to handle multiple competing priorities in a fast-paced environment.
- Experience communicating with technical and non-technical stakeholders across multiple business units.- Master’s Degree in quantitative/technical field.
- 5+ years of relevant experience.
- Ability to deliver initiatives from conception through completion.
- Familiarity with Data Science, mathematical modelling and statistical modelling.

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