Drimva

Amazon

Senior Business Intelligence Engineer, ShipTech Analytics

$130K–$176K

Bellevue, WA · Senior · Full-time · Posted Sep 1, 2026

Experience
5+ years professional or military experience; 5+ years SQL; 4+ years processing large, multi-dimensional datasets; 1+ years statistical analysis; 5+ years in a listed or related occupation; 5+ years using SQL, ETL, or Oracle.
Education
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.

About the job

Build scalable data, analytics, and AI-powered automation solutions that support Amazon’s global transportation network and help operations teams make informed decisions.

What you'll do

  • Design and build ETL pipelines, metrics, reporting, and data tools for the transportation network.
  • Partner with stakeholders and engineering teams to deliver insights, improve data quality, and enhance analytics capabilities.
  • Use AWS cloud technologies and contribute to AI-powered automation and continuous improvement.

What they ask for

  • 5+ years of professional or military experience and 5+ years of SQL experience.
  • 4+ years processing large, multi-dimensional datasets from multiple sources; 1+ years performing statistical analysis.
  • 5+ years as a Data Analyst, Data Engineer, Business Intelligence Analyst, or related occupation; 5+ years using SQL, ETL, or Oracle.
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field; experience with multi-TB data, automation scripting, advanced SQL, and business stakeholders.

Nice to have

  • Experience managing, analyzing, and communicating results to senior leadership; experience with AWS technologies.
  • Use of generative AI tools and ability to identify opportunities to apply generative AI.

Pay

130,400.00 - 176,300.00 USD annually (base salary)

Tools

SQL, ETL, Oracle, Python, AWS, Hadoop, Spark, EMR

AI focus

Contribute to AI-powered automated insights and automation across the transportation network; generative AI use and opportunity identification are preferred.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)