Business Intelligence Engineer, WHS Data

Global technology company focused on e-commerce, cloud computing, and artificial intelligence
$74,100 - $165,600
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
Enterprise SaaS

Description For Business Intelligence Engineer, WHS Data

Amazon's Workplace Health and Safety (WHS) team is seeking a Business Intelligence Engineer to join their Data team. This role is crucial in providing reporting solutions that drive workplace safety and regulatory compliance worldwide. The position involves working closely with senior leaders and principal PMs to generate insights and deep dives into core metrics that impact organizational decisions. The ideal candidate will have strong SQL skills and experience with data visualization tools.

The role requires analyzing complex datasets, creating high-quality products, and communicating effectively with stakeholders. You'll be responsible for designing BI solutions, conducting deep dive analyses, and developing best practices in data integrity. The position offers competitive compensation based on location and experience, ranging from $74,100 to $165,600 per year, plus comprehensive benefits.

This is an excellent opportunity for a data professional who wants to make a meaningful impact on workplace safety and employee well-being at one of the world's largest companies. You'll be part of Amazon's commitment to being Earth's Best Employer, working on initiatives that directly affect the safety and productivity of their workforce. The role offers significant growth potential and the chance to work with cutting-edge technology and data systems.

Last updated 4 minutes ago

Responsibilities For Business Intelligence Engineer, WHS Data

  • Contribute to the design, implementation, and delivery of BI solutions
  • Conduct deep dive analyses of business problem statements
  • Identify opportunities and key criteria to drive analytical reporting
  • Produce written recommendations and insights for key stakeholders
  • Simplify and automate reporting, audits, and data-driven activities
  • Partner with Data Engineering to enhance data infrastructure
  • Develop and drive best practices in data integrity and analysis

Requirements For Business Intelligence Engineer, WHS Data

Python
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with one or more industry analytics visualization tools
  • Experience with scripting language (e.g., Python, Java, or R)

Benefits For Business Intelligence Engineer, WHS Data

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
401k
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Parental Leave
  • 401k
  • Paid Time Off (PTO)

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