Business Intelligence Engineer, WHS Data

About

At Amazon, the Leadership Principle “Strive to be Earth's Best Employer” challenges us to create “a safer, more productive, higher performing, more diverse, and more just work environment,” and reinforces that nothing is more important than the safety and well-being of our teams. At Workplace Health and Safety (WHS) we strive to do just this. We work tirelessly to ensure we have the appropriate strategy, technology, and attitude to be successful. We also understand that people are at the center of safety and look to invest in talent that shares in our passion for making our employees and partners lives better.

The WHS Data team is hiring a Business Intelligence Engineer (BIE). The Data team spans the Business Intelligence (BI) and Data Engineering (DE) functional areas, and is responsible with providing all reporting solutions required by the WHS Organization to drive workplace safety and regulatory compliance worldwide. This BIE role will primarily support the data and reporting needs for the Business Unit (BU) BI team in the WHS Organization. This role regularly requires close engagement with senior leaders and principal PMs to generate insights and deep dives into core metrics that directly impact organizational strategic decisions and priorities. The role requires high proficiency in complex SQL scripting, often joining together multiple types of data sets that range from normalized summaries to raw information spanning many diverse sources. The role will need to have a high bar for ownership and work autonomously to create high-quality products for the customer. The role is required to communicate project roadmap, prioritization, and release notes of new products with customer and stakeholder groups including leadership.

Nice-to-have skills

• Python
• Innovation
• Business Strategy
• Tableau
• Storage
• Communication
• Oracle
• Leadership
• Implementation
• Statistics
• SAS
• Documentation
• Finance
• Matlab
• Data Mining
• Amazon DynamoDB
• ETL
• Engineering
• SQL
• Reporting
• Computer Science
• SQL
• Redshift
• Oracle
• NoSQL
• Tableau
• ETL
• R
• SAS
• Matlab
• Python
• Amazon DynamoDB
• Luxembourg
  
  

Work experience

• Business Intelligence
• Data Engineer
• Data Analyst
  
  

Languages

• French