Eli Lilly and Company

Associate Data Engineer, People Analytics

Eli Lilly and Company

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $57,750 - $129,800 per year

Job Level

JuniorMid-Level

Tech Stack

PythonSQLTableau

About the role

  • Drive impact by building the data foundations for People Analytics AI-enabled products and ensuring data readiness for integrated analytics
  • Streamline data management, build automated data pipelines, and create data products for People Analytics
  • Build, maintain, and manage security pipelines for People Analytics products to reduce compliance risks and ensure controlled access
  • Develop People Analytics-specific data products leveraging Python and Microsoft Fabric to enable faster, cleaner, and more reliable data integration into PowerBI
  • Build and maintain robust and scalable semantic data models for AI-ready People Analytics dashboards to increase self-service analytics adoption
  • Manage continuous People Analytics data updates and automate data pipelines to reduce manual intervention and improve data accuracy
  • Partner with HR Technology and Tech@Lilly (IT) to support foundational build and testing of data integration into the HR Enterprise Data Warehouse
  • Manage team documentation and business continuity plans

Requirements

  • Bachelor’s degree in Business Analytics, Statistics, Data Science, Information Technology or related field
  • 3+ years of relevant professional experience in reporting and analytics and/or data engineering
  • Hands-on experience extracting reports in HR Systems (e.g., Workday, SAP)
  • Intermediate to advanced proficiency in data management using SQL or Microsoft Fabric (preferred)
  • Intermediate to advanced proficiency with analytics/statistical tools: R or Python (preferred)
  • Intermediate to advanced skills in data visualization tools: Tableau, Qlik, or Power BI (preferred)
  • Qualified applicants must be authorized to work in the United States on a full-time basis
  • Experience managing projects and independently driving deliverables
  • Solid understanding of Human Resources data and related business processes
  • Ability to work cross-functionally and collaborate effectively with HR and non-HR stakeholders
  • Strong written and interpersonal communication skills
  • Highly detail-oriented with a strong commitment to accuracy
  • Self-starter who can work independently with minimal guidance
  • Capable of recognizing opportunities for process improvement and implementing sustainable, innovative solutions
  • Demonstrates strong motivation, rapid learning abilities, and a growth mindset