At Lilly, the HR Technology and Operations (HRTO) organization is looking to enhance its People Analytics capabilities by building foundational data work to deliver and execute analytics solutions and products. This involves streamlining data management, creating automated data pipelines, and developing data products to advance business intelligence within the HR function, ultimately enabling faster, cleaner, and more reliable data integration for AI-ready dashboards and increased self-service analytics adoption.
Requirements
- 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)
Responsibilities
- 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.
Other
- 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
- 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.
- Experience managing projects and independently driving deliverables
- Solid understanding of Human Resources data and related business processes
