Business Intelligence Engineer, Data Science & Analytics

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

Description For Business Intelligence Engineer, Data Science & Analytics

AWS Infrastructure Services is at the heart of Amazon's cloud operations, responsible for the design, planning, delivery, and operation of all AWS global infrastructure. This role within the Data Science and Analytics team supports the broader Hardware Engineering organization by bridging the gap between data and business needs. As a Business Intelligence Engineer, you'll join a diverse team working on highly impactful BI solutions in a complex problem space. The position offers exposure to both Data Science and Data Engineering disciplines while working with cutting-edge cloud technology.

The role involves collaborating with BIEs, Data Scientists, Data Engineers, and SDEs to design and implement business intelligence solutions that have long-term impact. You'll work with large-scale datasets, develop ETL processes, and create data visualizations using tools like QuickSight. The position requires strong SQL skills and programming abilities, particularly in Python.

AWS values diverse experiences and backgrounds, promoting an inclusive culture through various initiatives like employee-led affinity groups and ongoing learning experiences. The company emphasizes work-life harmony and provides comprehensive benefits including medical, financial, and career development opportunities. This is an excellent opportunity for experienced data professionals looking to make an impact at the world's leading cloud platform provider.

The compensation is competitive and varies by location, ranging from $117,300 to $202,800 per year, plus additional benefits and equity. Join AWS to be part of a team that keeps the cloud running and delivers innovation at scale.

Last updated 14 days ago

Responsibilities For Business Intelligence Engineer, Data Science & Analytics

  • Design, implement, and deliver BI solutions
  • Support Hardware Engineering organization with data analytics
  • Act as conduit between data and business
  • Develop ETL processes
  • Work with complex datasets
  • Collaborate with cross-functional teams

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 opportunities
  • Mentorship programs
  • Employee-led affinity groups
  • Inclusive culture

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