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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

Join Amazon's eCommerce Services (eCS) team as a Business Intelligence Engineer working on data engineering and analytics. 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, and post-fulfillment operations.

As a Business Intelligence Engineer, you'll be responsible for developing and maintaining critical business metrics, analyzing historical data trends, and building data pipelines that support large-scale analysis. The role combines technical expertise in data engineering with business acumen to deliver insights that drive strategic decisions.

The position offers the opportunity to work with complex datasets and sophisticated analytics tools while contributing to the world's largest eCommerce platform. You'll collaborate with software development teams to implement analytics systems and lead data quality initiatives that enhance the customer experience.

Amazon's eCommerce Services provides the foundation that enables business innovation while ensuring security, availability, and reliability for millions of customers worldwide. This role is perfect for analytical, results-oriented professionals who are passionate about using data to solve complex problems and drive business growth.

Working at Amazon, you'll be part of a team that values innovation, deep diving into data, and customer-centric thinking. The role offers exposure to cutting-edge technologies and the chance to impact systems that serve Amazon's global customer base.

Last updated a day 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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