Business Intelligence Engineer

AWS is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuously innovating.
Data
Mid-Level Software Engineer
Contact Company
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS · Cloud

Description For Business Intelligence Engineer

AWS Sales, Marketing, and Global Services (SMGS) is seeking a passionate Business Intelligence Engineer to join the BI team in the AWS Support organization. This role is crucial for driving revenue, adoption, and growth across various customer segments. As a BI Engineer, you'll work closely with internal stakeholders to define key performance indicators (KPIs) and implement them into dashboards/reports that drive decisions made by senior leadership. You'll analyze support business operations, develop intuitive dashboards, and help answer critical questions about support quality, customer satisfaction, and agent productivity. The role offers opportunities to work with modern cloud-based data technologies and the full set of AWS services.

Key responsibilities include:

  • Understanding loosely defined or structured problems
  • Providing BI solutions for complex issues and delivering large BI solutions
  • Driving team business decisions and highlighting new opportunities
  • Improving code quality and optimizing BI processes
  • Applying basic statistical methods for difficult business problems

Required skills:

  • 3+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
  • Experience with data visualization tools like Tableau or Quicksight
  • Expertise in data modeling, warehousing, and building ETL pipelines
  • Proficiency in statistical analysis packages such as R, SAS, and Matlab
  • Strong SQL skills and scripting experience (Python) for data processing and modeling

Preferred qualifications:

  • Experience with AWS solutions (EC2, DynamoDB, S3, Redshift)
  • Experience in data mining and working with large-scale, complex datasets in a business environment

AWS values diverse experiences and offers a supportive work environment with a focus on work-life harmony, inclusive team culture, mentorship, and career growth opportunities.

Last updated a month ago

Responsibilities For Business Intelligence Engineer

  • Define key performance indicators (KPIs) for the support business
  • Implement KPIs into dashboards/reports for senior leadership
  • Analyze support business operations
  • Develop intuitive and information-rich dashboards
  • Apply statistical methods to solve complex business problems
  • Improve code quality and optimize BI processes

Requirements For Business Intelligence Engineer

Python
  • 3+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
  • Experience with data visualization tools like Tableau or Quicksight
  • Expertise in data modeling, warehousing, and building ETL pipelines
  • Proficiency in statistical analysis packages (R, SAS, Matlab)
  • Strong SQL skills and Python scripting experience

Benefits For Business Intelligence Engineer

Education Budget
  • Mentorship and career growth opportunities
  • Work-life harmony
  • Inclusive team culture
  • Employee-led affinity groups

Interested in this job?

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