Business Intelligence Engineer I, Retail Business Service

Global technology company providing retail, cloud computing, and artificial intelligence services
$80,000 - $120,000
Data
Entry-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
Enterprise SaaS · E-Commerce

Description For Business Intelligence Engineer I, Retail Business Service

Retail Business Services (RBS) at Amazon is seeking a Business Intelligence Engineer to support their worldwide retail business growth. The role focuses on three core areas: Selection (sourcing and enriching ASINs), Defect Elimination (resolving supply chain issues), and operational process support for worldwide retail teams. The ideal candidate will work with cutting-edge ML and deep learning approaches to improve customer shopping experiences through data-driven decision making. You'll be part of a dynamic team including software developers, applied scientists, and product managers, using advanced analytics to drive business improvements. The role offers opportunities to work with AWS technologies, large-scale data sets, and contribute to meaningful business impact through data analysis and visualization. This position combines technical expertise with business acumen, requiring skills in Python, data visualization, and statistical analysis. The role offers growth opportunities and the chance to work on impactful projects at one of the world's leading technology companies.

Last updated a day ago

Responsibilities For Business Intelligence Engineer I, Retail Business Service

  • Work with large, multi-dimensional datasets from multiple sources
  • Make recommendations for new metrics, techniques, and strategies
  • Build and maintain Python utilities
  • Enable efficient adhoc queries & analysis
  • Work closely with research scientists, business analysts and product leads
  • Ensure consistency between various platform, operational, and analytic data sources
  • Explore and implement AWS technologies
  • Mentor the team on analytics best practices

Requirements For Business Intelligence Engineer I, Retail Business Service

Python
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with statistical methods (e.g. t-test, Chi-squared)
  • Experience with scripting language (e.g., Python, Java, or R)

Benefits For Business Intelligence Engineer I, Retail Business Service

Medical Insurance
Visa Sponsorship
  • Workplace accommodation for disabilities
  • Inclusive culture

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