Business Intelligence Engineer, People Analytics, Technology, and Operations Excellence (PATOE)

A global technology and e-commerce company that employs over a million people worldwide.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Enterprise SaaS

Description For Business Intelligence Engineer, People Analytics, Technology, and Operations Excellence (PATOE)

Amazon's People Analytics, Technology, and Operations Excellence (PATOE) team is seeking a Business Intelligence Engineer to support over a million employees globally. This role focuses on deriving insights from data to enhance employee experience and development across NA Customer Fulfillment, Global Operations Learning & Development, and Employee Relations. The position involves designing and implementing data solutions to empower front-line leaders, working with complex datasets, and developing automated reporting systems. The successful candidate will join a team of Engineers, Data Professionals, Product Managers, and Scientists, contributing to scalable data products that support Employee Relations, Global Learning & Development, and WW Operations. This role offers the opportunity to make a significant impact on Amazon's employee development initiatives while working with cutting-edge analytics tools and technologies. The position requires strong technical skills in SQL, Python, and data visualization, combined with business acumen and stakeholder management abilities.

Last updated 13 hours ago

Responsibilities For Business Intelligence Engineer, People Analytics, Technology, and Operations Excellence (PATOE)

  • Use analytics to enhance reporting and data product offerings
  • Collaborate with PATOE developers and evaluate internal processes
  • Extract meaningful insights from large and complicated data sets
  • Design, develop and maintain scaled, automated systems, reports and dashboards
  • Support cross-functional teams on projects and initiatives
  • Deliver business reviews to senior management
  • Serve as liaison between business and technical teams
  • Conduct advanced statistical analysis to identify trends

Requirements For Business Intelligence Engineer, People Analytics, Technology, and Operations Excellence (PATOE)

Python
  • 5+ years of Excel experience (including VBA, pivot tables, array functions, power pivots)
  • 5+ years experience with SQL, Python, R
  • 3+ years experience working with large scale databases and data warehouses
  • 3+ years of business or financial analysis experience
  • Experience defining requirements and using data and metrics
  • Experience making recommendations and influencing stakeholders
  • Bachelor's degree in computer science, engineering, mathematics or equivalent

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