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Business Intelligence Engineer I, Retail Business Service Data Engineering Team

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

Job Description

Join Amazon's Retail Business Services (RBS) team as a Business Intelligence Engineer I, where you'll play a crucial role in supporting Amazon's worldwide retail business growth. RBS focuses on three core areas: Selection (sourcing and enriching ASINs), Defect Elimination (resolving supply chain issues), and operational process support for worldwide retail teams.

As part of our data engineering team, you'll work alongside high-caliber software developers, applied scientists, and product managers, using advanced ML and deep learning approaches to identify and fix catalog defects, ensuring excellent shopping experiences for customers.

The role combines technical expertise in data engineering with business intelligence, requiring proficiency in Python, data visualization tools, and large-scale data analysis. You'll be responsible for building and maintaining data pipelines, creating efficient query systems, and working cross-functionally with various teams.

This position offers the opportunity to work with cutting-edge AWS technologies, handle multi-dimensional datasets, and make significant impacts on Amazon's retail operations. The ideal candidate should be customer-obsessed, data-driven, and eager to mentor others in analytics best practices.

Working at Amazon, you'll benefit from the company's innovative culture, extensive resources, and the chance to solve complex problems at a global scale. This role is perfect for someone who combines technical skills with business acumen and wants to grow their career in data engineering and business intelligence.

Last updated a month ago

Responsibilities For Business Intelligence Engineer I, Retail Business Service Data Engineering Team

  • Working with large, multi-dimensional datasets from multiple sources
  • Making recommendations for new metrics, techniques, and strategies
  • Building new Python utilities and maintaining existing ones
  • Enabling more efficient adhoc queries & analysis
  • Working closely with research scientists, business analysts and product leads
  • Ensuring consistency between various platform, operational, and analytic data sources
  • Exploring and learning the latest AWS technologies
  • Mentoring the team on analytics best practices

Requirements For Business Intelligence Engineer I, Retail Business Service Data Engineering Team

Python
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with one or more industry analytics visualization tools and statistical methods
  • Experience with scripting language (e.g., Python, Java, or R)

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