Business Intelligence Engineer

About

Business Intelligence Engineer, SCOT - Automated Inventory Management

The Supply Chain Optimization Technologies (SCOT) organization owns Amazon's global inventory management systems: we decide what, when, where, and how much we should buy to meet Amazon's business goals and to make our customers happy. We do this for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house, and are on the cutting edge in automated large-scale business, inventory and supply chain planning and optimization systems. We foster new game-changing ideas, creating ever more intelligent and self-learning systems to maximize the efficiency of Amazon's inventory investment and placement decisions.

The Automated Inventory Management team within SCOT seeks an experienced and motivated Business Intelligence Engineer to develop analytical models and tools to automate the auditing of the SCOT systems. Such tools may include algorithms, metric bridges, dashboards, processes and workflow systems.

The successful candidate will have strong quantitative data mining and modeling skills and be comfortable working on new and sometimes ambiguous problems from concept through to execution. They will have strong communication and leadership skills, will be able to collaborate with other teams (e.g. software development, business owners, product managers) and to present findings to senior audiences to drive business improvements. As well we expect this candidate to raise the bar on any of the following categories: Data Warehousing, Data Architecture, Performant Self Service Toolsets and Data analytics. Candidate might be willing to work with the others BIEs in order to solve organizational problems at scale and setting the grounds of a healthy data products offer while delivering what is required by business.

Nice-to-have skills

• Team Leadership
• Python
• Execution
• Mentoring
• Tableau
• Storage
• Oracle
• Business Process
• Data Analysis
• SAS
• Communication
• Algorithms
• Matlab
• Data Mining
• Amazon DynamoDB
• ETL
• Engineering
• Optimization
• SQL
• Redshift
• Oracle
• NoSQL
• Tableau
• R
• SAS
• Matlab
• SQL
• Python
• Amazon DynamoDB
• Data Warehousing
• Data Modeling
• Data Visualization
• Data Analysis
• Data Mining
• Luxembourg
  
  

Work experience

• Business Intelligence
  
  

Languages

• English