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Business Intelligent Engineer II, Amazon Shipping

Amazon's global fulfillment network enables merchants to ship items ordered on Amazon worldwide.
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 to any location worldwide. The company operates a complex network managing item movement between vendor locations, Amazon warehouses, and customer locations through various intermediate points. At Amazon's scale of millions of packages, each with unique attributes and delivery requirements, this creates a highly dense network graph.

The BI and Data Engineering team focuses on solving complex transportation problems using workflows, optimization algorithms, and machine learning systems. These large-scale distributed systems handle millions of packages shipped through Amazon's logistics network.

As a Business Intelligence Engineer II, you will be responsible for developing datasets, dashboards, reports, and visualizations using BI tools to support strategic planning within Amazon Shipping. You'll work on projects aimed at improving overall cost and profitability for the business.

Key responsibilities include managing and integrating data from various sources, performing complex data analysis to identify trends and patterns, creating impactful visualizations, collaborating with stakeholders, and staying current with the latest BI tools and technologies.

This role offers the opportunity to work with cutting-edge technology and massive datasets while solving real-world logistics challenges. You'll be part of a highly respected team that directly impacts Amazon's global shipping operations and customer satisfaction. The position requires strong technical skills in data analysis, visualization, and programming, combined with the ability to translate complex data insights into actionable business recommendations.

Last updated 19 hours 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 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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