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Business Intelligence Engineer, AOP Team

Global technology and e-commerce company that leads in online retail, cloud computing, and artificial intelligence.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · E-Commerce

Description For Business Intelligence Engineer, AOP Team

Amazon's AOP Team is seeking a Business Intelligence Engineer to join their data analytics and engineering team. This is a 1-year term position focused on creating core analytics tech capabilities, platforms development, and data engineering across APAC, MENA, and LATAM regions. The role involves developing scalable analytics applications, standardizing data sources, and maintaining BI services and data marts.

The ideal candidate will work at the intersection of big data and business strategy, helping to improve Amazon's worldwide fulfillment networks in emerging countries. You'll be part of a team that's driving the development of methods, models, and systems for strategy planning, transportation, and fulfillment network optimization.

Working with professional software development managers, data engineers, and product managers, you'll use quantitative approaches to ensure high-quality data tech products for customers across India, Australia, Brazil, Mexico, Singapore, and the Middle East. The role requires strong skills in data analysis, visualization, and programming, with experience in tools like SQL, Python, R, and various BI platforms.

This position offers the opportunity to impact Amazon's operational efficiency directly, working on projects that reduce variable costs by improving fulfillment center processes, transportation operations, and execution of operational plans. You'll be responsible for both technical implementation and business communication, requiring a blend of analytical and collaborative skills.

Last updated 3 days ago

Responsibilities For Business Intelligence Engineer, AOP Team

  • Translating business questions into specific analytical questions using BI tools
  • Writing SQL queries and automation scripts
  • Ensure data quality throughout all stages of acquisition and processing
  • Communicate proposals and results backed by data
  • Collaborate with colleagues from multidisciplinary backgrounds
  • Develop efficient data querying and modeling infrastructure
  • Manage process and prioritize high impact projects
  • Utilizing code (SQL, Python, R, Scala, etc.) for analyzing data and building data marts

Requirements For Business Intelligence Engineer, AOP Team

Python
MongoDB
PostgreSQL
Redis
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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 to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

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