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Business Intelligence Engineer II, Long Term Planning

Global technology and e-commerce company focused on online retail, cloud computing, and artificial intelligence.
Luxembourg
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Logistics

Description For Business Intelligence Engineer II, Long Term Planning

Join Amazon's Supply Chain, Transportation Planning & Operational Excellence (EU STEP) team as a Business Intelligence Engineer II. This role is crucial in optimizing the end-to-end flow of goods across Europe, ensuring speedy and cost-effective customer delivery. You'll create data-driven solutions for transportation planning and network design, working with large-scale datasets and advanced analytics tools. The position combines technical expertise in data engineering, business intelligence, and AWS technologies with strategic thinking to improve network performance. You'll collaborate across teams, develop automated solutions, and have a direct impact on Amazon's EU global network efficiency. This role offers the opportunity to work with cutting-edge technology while solving complex logistics challenges at scale, making it ideal for data professionals who want to shape the future of e-commerce logistics.

Last updated an hour ago

Responsibilities For Business Intelligence Engineer II, Long Term Planning

  • Design and develop tools to automate standardized processes
  • Develop relationships with internal and external partner teams
  • Lead design, implementation, and delivery of large-scale data solutions
  • Analyze historical data to identify trends and support decision making
  • Improve existing methodologies by developing new data sources
  • Conduct written and verbal presentations to share insights
  • Collaborate with multiple teams and have cross-team impact
  • Research and benchmark technology against competing software
  • Mentor and educate the BIE community on trends and best practices

Requirements For Business Intelligence Engineer II, Long Term Planning

Python
  • Experience using SQL to pull data from a database or data warehouse
  • Scripting experience (Python) to process data for modeling
  • Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
  • Experience developing and presenting recommendations of new metrics
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience writing complex SQL queries

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