Drimva

Amazon

Business Intelligence Engineer, SSP Analytics, Seller Success Programs Analytics

$100K–$160K

Seattle, WA · Full-time · Posted Oct 15, 2026

Experience
3+ years in data analysis and interpretation and in the job offered or a related occupation; 1+ years in each of the additional listed areas.
Education
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.

About the job

Develops analytics, metrics, reporting, and data solutions to improve seller registration, onboarding, launch, and growth on Amazon stores.

What you'll do

  • Partner with business, product, and engineering stakeholders to define data needs and deliver reporting and business intelligence solutions.
  • Build and maintain metrics, reports, dashboards, and self-service access to large datasets.
  • Analyze seller journey data, recommend improvements, and inform business and program decisions.

What they ask for

  • 3+ years analyzing and interpreting data with Redshift, Oracle, NoSQL, or similar experience; 3+ years in the job offered or a related occupation.
  • At least 1 year each in SQL, ETL, or Oracle; processing large multidimensional datasets from multiple sources; statistical analysis; and automated reporting.
  • Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.
  • Experience with data visualization tools, data modeling and warehousing, ETL pipelines, statistical analysis packages, SQL, and Python scripting.

Nice to have

  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
  • Experience using generative AI tools to improve workflow efficiency and identifying opportunities to integrate AI into products or services.

Pay

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

Tools

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

AI focus

Preferred experience includes using generative AI tools to improve workflow efficiency and identifying opportunities to integrate AI solutions into products and services.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 5, 2026 (UTC)