Analyst - Risk Analytics Developer
Listed on 2025-12-27
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IT/Tech
Data Analyst, Data Security, Data Science Manager, Business Systems/ Tech Analyst
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.
Lilly’s Integrated Risk Management (IRM) program is a strategic enterprise initiative that transforms traditional risk management into a competitive advantage by uniting cross‑functional expertise with cutting‑edge analytics and technology. IRM enables faster, better informed decision‑making that protects what matters most: our operations, reputation, and ability to deliver life‑saving medicines to patients. This integrated approach creates a coordinated and proactive system that helps Lilly stay resilient and agile as we continue reaching more patients than ever before.
PositionDescription
The Risk Analytics Developer translates complex business questions into actionable intelligence by building executive dashboards, Power BI reports, and self‑service analytics tools that enable risk leaders to monitor portfolios, identify emerging threats, and make data‑driven decisions in real time. Working as part of the centralized IRM Insights Hub team, you will develop solutions that span multiple risk domains, creating visibility and insight that has never before existed across Lilly’s integrated risk landscape.
This role balances new capability development with operational support of current tools, focusing on discovering useful insights, supporting leadership decision‑making, and driving continuous improvement across risk processes. Leveraging Microsoft Fabric as the foundation for data engineering and Power BI for visualization, you will work with data from enterprise systems including Service Now GRC, SAP, Workday, and assurance platforms to create unified analytics that break down historical data silos and enable “Analytics for Everyone” across the IRM ecosystem.
PrimaryPosition Responsibilities Solution Delivery
- Develop Power BI dashboards and executive visualizations that effectively analyze risk data across the enterprise, identifying emerging threats, trends, and insights across multiple risk domains
- Build self‑service analytics capabilities that enable risk leaders and business partners to monitor risk portfolios and make real‑time, data‑driven decisions
- Create artificial intelligence and automation solutions using Power Platform (Power Automate, Copilot Studio), Claude, and Microsoft Fabric capabilities
- Leverage and integrate data from multiple sources including Service Now GRC, SAP, Workday, Success Factors, and assurance platforms using Microsoft Fabric’s data integration capabilities
- Drive process standardization and automation to enable IRM and partner risk functions to operate more effectively and efficiently
- Respond to analytics requests from risk functions, producing datasets and insights that support risk assessments, audits, investigations, and strategic initiatives
- Support enterprise risk reporting to business partners, risk owners, senior leadership, and key stakeholders
- Partner with risk function personnel to identify control risks and emerging threats relative to regulations, policies, procedures, and business objectives
- Develop and maintain comprehensive documentation of analytics tools, data models, semantic models, data pipelines, and methodologies to enable knowledge sharing and team scalability
- Forge partnerships with risk data owners, assurance function partners, and business leaders across risk functions to identify unmet analytics needs and process improvement opportunities
- Support the upskilling of risk functions and business partners in data analytics domains, contributing to the “Analytics for Everyone” vision
- Participate in cross‑functional analytics…
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