← All roles

Business Intelligence Engineer - AWS, AWS DC Construction

Amazon· Business Intelligence
Apply on company site
Hybrid (Austin, TX), Hybrid (Seattle, WA), Hybrid (Arlington, VA), Hybrid (Herndon, VA)$99.5k - $160kFull-timePosted 1w ago

About the role

Data-focused BI position supporting AWS Data Center construction and capacity delivery. Build metrics, reports, dashboards, and analytics to inform procurement, planning, and leadership decisions within AWS Infrastructure Services. Role emphasizes partnering with business customers, delivering scalable reporting solutions, ETL pipelines, and data-driven insights while maintaining data quality and driving analytical maturity.

Responsibilities

  • Set the baseline. Partner with business customers and leadership to define, track, and report KPIs against annual, quarterly, and monthly goals.
  • Turn needs into solutions. Gather requirements and deliver complete reporting solutions.
  • Build at scale. Design, develop, and maintain automated, user-friendly reports and dashboards that support procurement planning and decision-making.
  • Move the data. Build and optimize ETL pipelines that pull data from diverse sources using SQL, Python, and AWS big data technologies.
  • Tell the story. Publish and maintain QuickSight dashboards, reports, and executive review documents that reveal trends, patterns, and outliers.
  • Spot what others miss. Uncover patterns in the data and connect them to business outcomes.
  • Measure what matters. Invent new ways to define and measure program effectiveness and organizational productivity.
  • Bridge business and tech. Act as the link between business and technical teams, delivering actionable insights and ad hoc analyses that fuel future improvements.
  • Protect data quality. Run regular audits to keep reporting complete and accurate, and automate manual reporting wherever you can.
  • Think ahead. Grow the team's analytical maturity through predictive and prescriptive analytics.

Qualifications

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • 3+ years of in the job offered or a related occupation experience
  • 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
  • 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

Skills

Required:Data analysisSQLETLPythonTableau / QuickSight

Benefits

  • Health insurance (medical, dental, vision, prescription) and life insurance options
  • 401(k) matching
  • Paid time off and parental leave
  • Flexible spending accounts and employee assistance programs
  • Learning and mentorship opportunities
  • RSUs and sign-on payments as part of compensation package
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

Amazon.com, Inc. or its affiliates

liquid-ai-recruiting-target
Company profileWebsite

More open roles at Amazon