Drimva

Amazon

Business Intelligence Engineer II, SCOT-FO, PACMAN

$100K–$160K

Bellevue, WA · Full-time · Posted Aug 28, 2026

Experience
3+ years analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.; 1+ years in each of SQL, ETL or Oracle; processing large multidimensional datasets from multiple sources; statistical analysis; and automated reporting; 3+ years in the job offered or a related occupation.
Education
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.

About the job

Build analytics, reporting, and data pipelines that track outbound fulfillment capacity and inform planning and real-time resource decisions.

What you'll do

  • Develop and maintain operational reports, dashboards, data pipelines, and ETL processes for capacity analytics.
  • Analyze capacity trends, anomalies, and utilization discrepancies; present findings and recommendations to stakeholders.
  • Define data requirements and metrics, improve data quality, and partner with engineering, science, product, and operations teams.

What they ask for

  • Experience analyzing and interpreting data with Redshift, Oracle, NoSQL, or similar technologies.
  • Experience with SQL, ETL, or Oracle; processing large multidimensional datasets; statistical analysis; and automated reporting.
  • Experience with data visualization, data modeling, warehousing, and ETL pipelines; SQL and Python scripting for data processing and modeling.
  • Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.

Nice to have

  • Experience in data mining, ETL, and databases in business environments with large-scale, complex datasets.
  • Experience with statistical and correlation analysis.

Pay

99,500.00 - 160,000.00 USD annually (base salary)

Tools

Redshift, Oracle, NoSQL, SQL, ETL, Tableau, Quicksight, Python

AI focus

Provide thought leadership on data mining, analysis, and AI-powered automation to accelerate insight generation.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)