Business Intelligence Engineer, WHS Data; Fulfillment & Operations

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 and 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.

The role will require 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. High proficiency in complex SQL scripting, ownership, autonomous work, and communication of project roadmap and release notes with stakeholders are essential.

• 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.

• 3+ years of analyzing and interpreting data with Redshift, Oracle, No
  
  SQL, etc.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Bachelor’s degree in BI, finance, engineering, statistics, computer science, mathematics, finance or quantitative field.

• 5+ years of analyzing and interpreting data with Redshift, Oracle, No
  
  SQL, etc.
• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
• Experience in data mining, ETL, etc., and using databases in a business environment with large‑scale, complex datasets.
• Master’s degree in BI, finance, engineering, statistics, computer science, mathematics, finance or quantitative field.

Location and Compensation: USA, WA, Bellevue – 99,500.00 –  USD annually.

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.