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Business Intelligent Engineer II, Amazon Shipping

Global e-commerce and technology company operating the world's largest online retail platform and cloud computing services.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Logistics

Job Description

Amazon's global fulfillment network enables merchants to ship items ordered on Amazon worldwide through a complex network connecting vendor locations, Amazon warehouses, and customer locations. As a Business Intelligence Engineer II in the Amazon Shipping team, you'll be part of a highly respected BI and Data Engineering team solving complex transportation problems using workflows, optimization algorithms, and machine learning systems. These systems handle millions of packages through Amazon's logistics network.

Your role involves developing crucial datasets, dashboards, reports, and visualizations using BI tools to support strategic planning within Amazon Shipping. You'll work with large-scale distributed systems and provide data-driven recommendations to improve overall cost and profitability for the business.

This position offers the opportunity to work with cutting-edge technologies and tools while handling complex logistics challenges at a global scale. You'll collaborate with stakeholders across the organization, applying your technical expertise in data analysis, visualization, and engineering to drive business decisions.

The role combines technical skills in data engineering, business intelligence, and analytics with the opportunity to impact Amazon's worldwide transportation network. You'll be part of a team that's essential to Amazon's logistics operations, working with AWS technologies and large-scale data systems to optimize shipping operations globally.

Last updated 2 days ago

Responsibilities For Business Intelligent Engineer II, Amazon Shipping

  • Collect, process, and manage large datasets from various sources
  • Analyze complex data sets to identify trends, patterns, and insights
  • Develop and maintain dashboards, reports, and visualizations
  • Work closely with stakeholders to understand their data needs
  • Provide data-driven recommendations and support strategic planning

Requirements For Business Intelligent Engineer II, Amazon Shipping

Python
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience
  • 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 and Python to process data for modeling

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