Business Intelligence Engineer, Data Center Engineering Analytics

World's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.
$89,600 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Cloud

Description For Business Intelligence Engineer, Data Center Engineering 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. As a Business Intelligence Engineer on the Data Center Engineering Team, you'll play a crucial role in maintaining AWS's world-class data centers and infrastructure.

The position offers an exciting opportunity to work with vast amounts of operational data from the AWS fleet, generating insights that drive engineering excellence and improvements for AWS customers. You'll collaborate with Data Engineers and partner teams to build mechanisms enabling data-driven decision-making across Engineering divisions.

The role combines technical expertise with business intelligence, requiring strong analytical abilities and excellent communication skills. You'll work with cutting-edge technology and data visualization tools, handling large-scale datasets to extract meaningful insights that directly impact AWS's infrastructure decisions.

AWS offers a dynamic, fast-paced environment with exponential growth opportunities. The company values diversity, inclusion, and work-life harmony, providing comprehensive benefits and career development resources. You'll join a culture that embraces continuous learning and innovation, with access to mentorship and knowledge-sharing opportunities.

The compensation package is competitive, ranging from $89,600 to $185,000 based on location, plus additional benefits including equity and sign-on payments. This role is perfect for analytical minds who enjoy solving complex problems and want to contribute to the foundation of AWS's cloud infrastructure.

Working at AWS means joining a team that values diverse experiences and perspectives. The company provides an inclusive environment through employee-led affinity groups and ongoing learning experiences. Whether you're early in your career or bring alternative experiences, AWS encourages applications from all backgrounds.

This position requires 3+ years of experience with data analysis and visualization tools, making it ideal for mid-level professionals looking to make a significant impact in cloud infrastructure operations. Join AWS to help shape the future of cloud computing while growing your career in a supportive, innovative environment.

Last updated 22 minutes ago

Responsibilities For Business Intelligence Engineer, Data Center Engineering Analytics

  • Collaborate with engineering stakeholders to gather business and functional requirements
  • Develop understanding of operational data from AWS fleet
  • Design, develop and maintain user-friendly mechanisms, reports, and dashboards
  • Extract meaningful insights from large and complicated data sets
  • Build data visualizations to show operational trends, patterns, and outliers
  • Maintain high standards in reporting and analysis

Requirements For Business Intelligence Engineer, Data Center Engineering Analytics

Python
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience using SQL to pull data from a database or data warehouse
  • Python scripting experience to process data for modeling
  • Experience in data mining, ETL, and using databases with large-scale, complex datasets

Benefits For Business Intelligence Engineer, Data Center Engineering Analytics

Medical Insurance
  • Medical, financial, and other benefits
  • Flexible work culture
  • Mentorship and career growth opportunities
  • Inclusive team culture
  • Employee-led affinity groups

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