Business Intelligence Engineer II, AWS Infrastructure Services - Science

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 II, AWS Infrastructure Services - Science

AWS Infrastructure Services Science (AISS) is seeking a Business Intelligence Engineer to join their team that researches and builds machine learning models influencing power utilization at AWS data centers. This role is crucial in ensuring the health of thermal and electrical infrastructure at high utilization levels.

As a Business Intelligence Engineer, you'll work at the intersection of data analysis and business strategy, creating impactful BI and analytics solutions. You'll collaborate with AWS's infrastructure teams, helping maintain the backbone of the world's leading cloud platform. The position offers exposure to complex data challenges involving thousands of variables in the supply chain.

The role demands expertise in data visualization, multidimensional dataset modeling, and effective partnership with business leaders. You'll work in a fast-paced environment, delivering solutions through rapid iterations. Your responsibilities include designing automated reporting systems, extracting insights from complex datasets, and building data pipelines.

AWS values diversity and inclusion, offering a supportive environment where innovation thrives. The company provides comprehensive benefits, emphasizes work-life harmony, and supports career development through mentorship and learning opportunities. You'll join a diverse team of software, hardware, and network engineers, contributing to AWS's mission of providing infinite capacity at optimal costs.

This position offers competitive compensation ranging from $89,600 to $185,000 annually, based on location and experience, plus additional benefits and potential equity. The role requires 3+ years of data analysis experience and strong technical skills in SQL, Python, and visualization tools. If you're passionate about data-driven decision making and want to impact global cloud infrastructure, this role offers an excellent opportunity to advance your career at AWS.

Last updated 20 days ago

Responsibilities For Business Intelligence Engineer II, AWS Infrastructure Services - Science

  • Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards
  • Apply deep analytic and business intelligence skills to extract meaningful insights
  • Be hands-on with ETL to build data pipeline to support automated reporting
  • Serve as liaison between business and technical teams
  • Build various data visualizations to tell the story of business trends
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards

Requirements For Business Intelligence Engineer II, AWS Infrastructure Services - Science

Python
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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 to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Benefits For Business Intelligence Engineer II, AWS Infrastructure Services - Science

Medical Insurance
401k
  • Medical, financial, and other benefits
  • Flexible work culture
  • Mentorship and career growth opportunities
  • Employee-led affinity groups
  • Inclusive team culture

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