Associate - People Analytics Data Engineer at Lilly
Indiana, Indiana, USA -
Full Time


Start Date

Immediate

Expiry Date

06 Dec, 25

Salary

57750.0

Posted On

07 Sep, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Analytics, Data Science, Reporting, Visas, R, Tableau, Qlik, Communication Skills, Statistics, Business Analytics, Sql, Information Technology, Data Engineering, Python, Power Bi, Deliverables

Industry

Human Resources/HR

Description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing, and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.
Our HR Technology and Operations (HRTO) organization oversees the global HR technology and analytics strategy and portfolio and provides HR shared services and operational support across the enterprise. Analytics is key capability in HRTO, with a growing centralized People reporting and analytics team.
The People Analytics Manager plays a vital role in the team, driving the foundational work necessary to deliver and execute analytics solutions and products.

BASIC 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, etc.)
  • 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. Lilly will not provide support for or sponsor work authorization and/or visas for this role.

ADDITIONAL SKILLS/PREFERENCES:

  • 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; able to thrive in a fast-paced, dynamic environment with competing priorities
  • Self-starter who can work independently with minimal guidance, proactively identifying and executing tasks
  • Capable of recognizing opportunities for process improvement and implementing sustainable, innovative solutions
  • Demonstrates strong motivation, rapid learning abilities, and a growth mindset
Responsibilities

In this role, you will drive impact by building the data foundations for People Analytics AI-enabled products and ensuring data readiness for integrated analytics. Your responsibilities will include:
-
- Streamlining data management, building automated data pipelines, and creating data products for People Analytics to advance business intelligence capabilities within the HR function.
- Building, maintaining, and managing security pipelines for People Analytics products to reduce compliance risks and ensure controlled access.
- Developing People Analytics-specific data products leveraging Python and Microsoft Fabric to enable faster, cleaner, and more reliable data integration into PowerBI.
- Building and maintaining robust and scalable semantic data models for AI-ready People Analytics dashboards to increase self-service analytics adoption.
- Managing continuous People Analytics data updates and automating data pipelines to reduce manual intervention and improve data accuracy.
- Partnering with HR Technology and Tech@Lilly (IT) to support the foundational build and testing of data integration into the HR Enterprise Data Warehouse.
- Managing team documentation and business continuity plans.

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