Description

Have you ever ordered a product on Amazon and wondered how it got delivered to you so fast? In the Amazon EU Supply Chain team, we are passionate to drive innovation on behalf of our customers to improve product availability and speed while reducing costs and carbon emissions. This role will give you a unique view into Amazon systems, processes and operations, allowing you to collaborate with planning, operations and technical teams. If you are an advocate to understand complexity in detail to drive improvements at scale, with a proven track record of analyzing and diving deep in complex data to generate insights and business recommendations, we’d like to talk to you.

This position is ideally based out of our EU

Headquarters in Luxembourg.

Key job responsibilities

• Design and own the right set of metrics to evaluate, audit and improve efficiency of IXD processes and placement systems

• Recommend improvements to the placement strategy using modelling and large datasets. You'll guide planning teams and other relevant stakeholders with regards to the mix of products to place in Amazon buildings, maximizing selection and reducing distance to customers

• Partner with technology teams to define key priorities to accommodate growing business needs and implement your recommendation in production through smart configurations in Amazon systems

• Develop the analytics required to visualize opportunities and measure success

• Research, develop, document and present new opportunities to all levels of Supply Chain, Finance, FBA and Retail leadership

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 one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)

• Experience with scripting language (e.g., Python, Java, or R)

• Experience with SQL

• Experience in the data/BI space

• Ability to translate complex technical problems in simple terms to business stakeholders, enabling and facilitating decision making across all leadership levels

Preferred Qualifications

• Master's degree, or Advanced technical degree

• Knowledge of data modeling and data pipeline design

• Experience with statistical analysis, co-relation analysis

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.