Business Intelligence Engineer, WHS Data

Amazon is a global technology and e-commerce company focused on customer obsession, innovation, and operational excellence.
Luxembourg
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS

Description For Business Intelligence Engineer, WHS Data

At Amazon, the WHS (Workplace Health and Safety) Data team is seeking a Business Intelligence Engineer to drive workplace safety and regulatory compliance worldwide. This role is integral to the Business Unit BI team, requiring close collaboration with senior leaders and principal PMs to generate insights that impact organizational strategies. The position demands expertise in complex SQL scripting, working with diverse data sets from multiple sources. The successful candidate will work autonomously to create high-quality analytics products, manage project roadmaps, and communicate effectively with stakeholders.

The role combines technical expertise with business acumen, requiring the ability to translate complex data into actionable insights. You'll be responsible for designing and implementing BI solutions, conducting deep dive analyses, and developing automated reporting systems. The position offers the opportunity to work with cutting-edge technology while contributing to Amazon's commitment to employee safety and well-being.

As a Business Intelligence Engineer, you'll be part of a team that directly influences workplace safety initiatives across Amazon's global operations. You'll have the chance to work with large-scale data sets, implement best practices in data management, and drive innovation in safety analytics. The role requires a blend of technical skills, analytical thinking, and strong communication abilities to effectively partner with stakeholders at all levels.

The ideal candidate will have experience with data visualization tools, ETL processes, and statistical analysis packages. You'll need to demonstrate proficiency in SQL and Python, along with the ability to work independently on complex projects. This position offers the opportunity to make a meaningful impact on workplace safety while working for one of the world's leading technology companies.

Last updated 24 minutes ago

Responsibilities For Business Intelligence Engineer, WHS Data

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

Requirements For Business Intelligence Engineer, WHS Data

Python
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL and Python for data processing
  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, or equivalent quantitative field

Benefits For Business Intelligence Engineer, WHS Data

  • Equal opportunities employer
  • Workplace accommodations available

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