Amazon Fulfilment Technologies (AFT) is seeking an innovative and results-driven business intelligence engineer to join our team. AFT is the backbone of Amazons global operations developing modern software hardware and processes that power our vast network of fulfilment centers that move billions of units of inventory employs tens of thousands of people and ensures that customers get what they want when promised. We do this by building automated solutions to handle things that technology does well while relying on people to handle things that humans do well.
Were looking for an experienced business intelligence engineer with a proven track record in delivering complex analytics and business intelligence on distributed software. The ideal candidate should have a comprehensive understanding of the entire BI deployment lifecycle including: BI design and architecture development comprehensive documentation rigorous testing methodologies and efficient operations. You must possess strong verbal and written communication skills be self-driven and deliver high quality results in a fast paced environment. Youll be joining a team responsible for a wide range of receive services that form the foundation of Amazons Fulfillment operations and its Inventory this role youll contribute to our mission of reinventing Amazon Fulfilment Inventory systems to provide best in class selection for our end customers while ensuring the highest standards of experience for our vendors and sellers. Your work will directly impact the efficiency and effectiveness of Amazons global fulfillment network ensuring we continue to meet and exceed customer expectations.
- 10 years of professional or military experience
- 5 years of SQL experience
- Experience programming to extract transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval data science machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
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