Business Intelligence Engineer, eCS Data Engineering and Analytics

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

Description For Business Intelligence Engineer, eCS Data Engineering and Analytics

Amazon's eCommerce Services (eCS) team is seeking a Business Intelligence Engineer to join their Data Engineering and Analytics team. This role is crucial in driving continuous improvement for Amazon's eCommerce systems through data-driven insights and metrics modeling. eCS manages vital aspects of the customer lifecycle, from account creation and sign-in to shopping cart management, checkout, order processing, and post-fulfillment actions.

The ideal candidate will be analytical, results-oriented, and self-motivated, playing a key role in improving critical systems that enable Amazon's retail business. You'll work with large-scale, complex datasets to develop and maintain business metrics, conduct historical data analysis, and build data pipelines that enhance strategic decision-making.

As part of eCS, you'll be working on systems that span the full range of eCommerce functionality, including Privacy, Identity, Purchase Experience, Ordering, Shipping, Tax, and Financial integration. The team's mission is to provide a commerce foundation that accelerates business innovation while ensuring security, availability, performance, and reliability for Amazon's customers.

This position offers the opportunity to work with cutting-edge technologies and tools in data analysis and visualization, including AWS services, while collaborating with software development teams to implement analytics systems and improve data quality. The role combines technical expertise in data engineering with business intelligence to drive meaningful improvements in Amazon's eCommerce platform.

Working at Amazon, you'll be part of a team that values innovation, deep diving into data, and customer-focused solutions. The role offers exposure to various aspects of Amazon's eCommerce ecosystem and the chance to impact millions of customer experiences worldwide.

Last updated 7 hours ago

Responsibilities For Business Intelligence Engineer, eCS Data Engineering and Analytics

  • Defining, developing and maintaining critical business and operational metrics
  • Analysis of historical data to identify trends and support decision making
  • Collaborating with software development teams to implement analytics systems
  • Identifying data needs and driving data quality improvement projects
  • Thought leadership on data mining and analysis
  • Mining and manipulating data from database tables, simulation results, and log files

Requirements For Business Intelligence Engineer, eCS Data Engineering and Analytics

Python
  • 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)
  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

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