Business Intelligence Engineer, Pxt, Aws Region Services

Amazon Amazon · Big Tech · Herndon, VA · Human Resources

This role focuses on building Business Intelligence solutions, including AI-powered agents and dashboards, to drive operational excellence and automate processes within Amazon's HR and AWS Region Services. It involves data engineering, ETL pipeline development, and leveraging AI/ML use cases to enhance workforce analytics and reporting.

What you'd actually do

  1. Partner with builders, HR specialists, and business leaders to understand their data needs and deliver impactful solutions.
  2. Evangelize and pilot AI/ML use cases leveraging QuickSuite to transform how we work.
  3. Build scalable solutions that move processes from manual to automated in support of growing scale and complexity.
  4. Develop and maintain reporting QuickSight dashboards that synthesize the needs of HR, security, recruiting, and business teams to deliver accurate, reliable data.
  5. Design and implement ETL pipelines, data models, and warehousing solutions.

Skills

Required

  • Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent, or 1+ years of relevant technical position experience
  • 3+ years of business analyst, data analyst or similar role experience
  • Experience in scripting for automation (e.g. Python)
  • advanced SQL skills
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with data visualization and dashboard development
  • US Citizenship required
  • Must be able to obtain and maintain a US security clearance

Nice to have

  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
  • Experience analyzing HR metrics and using data insights to drive business decisions
  • Experience communicating complex concepts clearly and persuasively to different audiences
  • Experience dealing well with ambiguity, prioritizing needs, and delivering measurable results in an agile environment
  • Demonstrated ability to evangelize and pilot AI/ML tools or automation frameworks

What the JD emphasized

  • US Citizen
  • US security clearance
  • AI/ML use cases
  • agentic workflows

Other signals

  • AI-powered solutions
  • AI-powered agents
  • automation frameworks
  • machine learning models
  • agentic workflows