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Business Intelligence Engineer, Workforce Solutions

Global technology and e-commerce company that leads in cloud computing, digital streaming, and artificial intelligence.
$89,600 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS

Job Description

At Amazon People Experience & Technology (PXT), we're using modern technologies to solve complex human problems at scale. The Workforce Solutions organization is seeking Business Intelligence Engineers to join their cross-functional team working on workforce staffing solutions for Amazon's global Fulfillment Center network.

The role focuses on leveraging Generative AI and intelligent agents to analyze large datasets, uncover patterns, and identify business opportunities. You'll be responsible for creating data-driven narratives and actionable business recommendations while developing AI-powered dashboards for data visualization.

Key responsibilities include:

  • Translating business requirements into scalable solutions
  • Designing and establishing KPIs to monitor analysis
  • Working with large datasets and building automated reporting dashboards
  • Developing high-value, self-service BI solutions
  • Collaborating with data engineering and product management teams

You'll work alongside Product Managers, Data Engineers, Software Engineers, and Scientists to solve complex workforce challenges. The ideal candidate should have strong analytical abilities, business acumen, and excellent communication skills to effectively translate insights into business decisions.

This role offers competitive compensation ranging from $89,600 to $185,000 per year based on location and experience, plus equity and comprehensive benefits including medical, financial, and other benefits. Join Amazon's innovative team in developing cutting-edge solutions for workforce management at a global scale.

Last updated 4 days ago

Responsibilities For Business Intelligence Engineer, Workforce Solutions

  • Gather and translate business requirements into scalable solutions
  • Design, develop and establish KPIs to monitor analysis
  • Work with large data sets and build monitoring/reporting dashboards
  • Report key insight trends and inform team of noteworthy business impacts
  • Collaborate with data engineering and product management teams

Requirements For Business Intelligence Engineer, Workforce Solutions

Python
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience using SQL and Python for data processing and modeling

Benefits For Business Intelligence Engineer, Workforce Solutions

Medical Insurance
Equity
  • Medical Insurance
  • Financial Benefits
  • Equity