Business Intelligence Engineer, Data Science & Analytics

World's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.
$117,300 - $202,800
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Cloud
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Description For Business Intelligence Engineer, Data Science & Analytics

AWS Infrastructure Services is seeking a Business Intelligence Engineer to join their Data Science and Analytics team within Hardware Engineering Services. This role is crucial in designing and maintaining server solutions for AWS and its customers. As a BIE, you'll work in a diverse team alongside Data Scientists, Data Engineers, and SDEs to create impactful business intelligence solutions.

The position offers an opportunity to work on complex problems with global impact, supporting AWS's infrastructure that powers cloud computing worldwide. You'll be responsible for developing sophisticated BI solutions, working with large-scale datasets, and creating data visualizations that drive business decisions.

The ideal candidate brings strong technical expertise in SQL, ETL processes, and data visualization tools like QuickSight, along with scripting capabilities. You'll be part of AWS's mission to maintain and innovate cloud infrastructure while working in an inclusive environment that values diverse perspectives and work-life harmony.

AWS offers competitive compensation ($117,300-$202,800 based on location) plus equity and comprehensive benefits. You'll join a culture that emphasizes continuous learning, mentorship, and professional growth. The role provides exposure to cutting-edge cloud technologies and the chance to impact millions of AWS customers globally.

This position combines technical expertise with business acumen, requiring someone who can translate complex data into actionable insights. You'll work in Seattle, collaborating with teams across AWS to support the world's leading cloud platform. The role offers significant growth potential and the opportunity to shape the future of cloud infrastructure.

Last updated 2 months ago

Responsibilities For Business Intelligence Engineer, Data Science & Analytics

  • Design, implement, and deliver BI solutions
  • Support Hardware Engineering organization with data analytics
  • Develop ETL processes
  • Create data visualizations
  • Work with complex datasets
  • Collaborate with Data Scientists, Data Engineers, and SDEs

Requirements For Business Intelligence Engineer, Data Science & Analytics

Python
  • 5+ years of experience in analyzing, interpreting and reporting data
  • 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 to pull data from a database or data warehouse
  • Python scripting experience to process data for modeling
  • Experience working directly with business stakeholders

Benefits For Business Intelligence Engineer, Data Science & Analytics

Medical Insurance
401k
  • Medical benefits
  • Financial benefits
  • Work-life harmony
  • Career development resources
  • Mentorship opportunities
  • Employee-led affinity groups
  • Inclusive culture

Interested in this job?