Business Intelligence Engineer, Amazon Shipping Bi

Amazon Amazon · Big Tech · Bellevue, WA · Business Intelligence

This role focuses on Business Intelligence and Data Engineering within Amazon Shipping, developing datasets, dashboards, and reports to support strategic planning and improve cost/profitability. It involves managing and analyzing large datasets, creating visualizations, and collaborating with stakeholders. While ML systems are mentioned as part of the broader context, the core responsibilities are centered around BI and data engineering, not direct AI/ML model development or deployment.

What you'd actually do

  1. Develop datasets, dashboards, reports, and visualizations using BI tools, and provide data-driven recommendations to support strategic planning within Amazon Shipping.
  2. Deliver across planned projects that will improve overall cost and profitability for the business.
  3. Collect, process, and manage large datasets from various sources, ensuring data accuracy, consistency, and accessibility.
  4. Analyze complex data sets to identify trends, patterns, and insights that can inform business decisions.
  5. Develop and maintain dashboards, reports, and visualizations to present data insights in an understandable and actionable format.

Skills

Required

  • analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • SQL, ETL or Oracle experience
  • processing large, multi-dimensional datasets from multiple sources experience
  • performing statistical analysis experience
  • developing automated reporting experience
  • data visualization using Tableau, Quicksight, or similar tools
  • data modeling, warehousing and building ETL pipelines
  • Statistical Analysis packages such as R, SAS and Matlab
  • SQL to pull data from a database or data warehouse
  • scripting experience (Python) to process data for modeling

Nice to have

  • AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • data mining
  • ETL
  • using databases in a business environment with large-scale, complex datasets