Amazon
Job title:
Business Intelligence Engineer, Supply Chain Science Intelligence Analytics team
Company
Amazon
Job description
DESCRIPTIONHave 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.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 spacePREFERRED QUALIFICATIONS– Master’s degree, or Advanced technical degree
– Knowledge of data modeling and data pipeline design
– Experience with statistical analysis, co-relation analysisAmazon 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 ( ) to know more about how we collect, use and transfer the personal data of our candidates.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Expected salary
Location
London
Job date
Sat, 18 Jan 2025 00:51:06 GMT
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