Senior Business Intelligence Engineer, WHS Data

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 for 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 Executive response (ER) 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.

Key job responsibilities

• Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems
• Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership
• Identify opportunities and key criteria to drive analytical reporting and business strategy
• Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting
• Simplify and automate reporting, audits, and other data-driven activities
• Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights
• Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation
• Learn new technology and techniques to meaningfully support product and process innovation