Business Intelligence Engineer, AWS Accelerator Systems

3 days ago


Bellevue, Washington, United States Amazon Data Services, Inc. Full time
About the Role

We are seeking a highly skilled Business Intelligence Engineer to join our AWS Accelerator Systems team. As a key member of our team, you will be responsible for building innovative insights that influence how work is orchestrated in AWS data centers.

Key Responsibilities
  • Design and develop data models, ETL pipelines, and data visualizations to uncover trends, patterns, and opportunities in large multidimensional datasets.
  • Perform in-depth analysis of data models and provide data-driven recommendations to inform business decisions.
  • Collaborate with cross-functional teams to understand business goals and develop innovative methods of measurement.
  • Work with software development teams to design requirements for data capture and storage.
  • Stay up-to-date with industry trends and best practices in data analysis and reporting.
About the Team

Our team is passionate about building innovative solutions that drive business outcomes. We value diversity, inclusion, and collaboration, and we're committed to creating a workplace that's welcoming and empowering for all employees.

What We Offer
  • A dynamic and supportive work environment that fosters growth and development.
  • Opportunities to work on high-impact projects that drive business outcomes.
  • A competitive salary and benefits package.
  • A comprehensive training program that helps you develop your skills and expertise.
Requirements
  • 3+ years of experience in data analysis and interpretation.
  • Experience with data modeling, warehousing, and ETL pipelines.
  • Strong SQL skills and experience with data visualization tools.
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
Preferred Qualifications
  • Experience with scripting languages such as Python.
  • Experience with data mining and ETL.
  • Experience developing and presenting recommendations for new metrics.


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