Eli Lilly and Company
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Analyst - Risk Analytics Developer
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Eli Lilly and Company Integrated Risk Management Program Overview
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. Position Description
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. Primary Position 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 ServiceNow GRC, SAP, Workday, SuccessFactors, 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 Operational Excellence 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 Process Ownership 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 initiatives that strengthen Lilly’s integrated risk intelligence capabilities Basic Qualifications/Requirements
Bachelor's Degree in Business Analytics, Statistics, Data Science, or related field 3+ years of relevant professional experience in data analytics Advanced proficiency with Power BI, including DAX, data modeling, and dashboard design Strong proficiency with SQL and data transformation tools Experience in project management and delivering analytics solutions in business environments 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 with Microsoft Fabric components (Data Factory, Synapse Data Engineering, Data Warehouse, Real‑Time Analytics) Familiarity with medallion architecture and modern data platform design patterns Professional experience building automation solutions using Power Platform (Power Automate, Power Apps) Experience developing artificial intelligence solutions or working with AI platforms Experience working in or supporting risk management, internal audit, compliance, or assurance functions Familiarity with ServiceNow GRC or enterprise risk management platforms Experience in pharmaceutical, healthcare, or highly regulated industries Ability to effectively collaborate with diverse cross‑functional partners across technical and business domains Strong written and interpersonal communication skills, with ability to translate technical insights into business language Detail‑oriented with high degree of accuracy and ability to thrive in fast‑paced, dynamic environments with competing priorities Self‑starter who works independently and proactively across distributed teams Capable of recognizing opportunities for process enhancement and implementing lasting, innovative solutions Demonstrated strong motivation, rapid learning agility, and growth mindset Demonstrated critical thinking skills applied to complex, ambiguous problem spaces Travel
Up to 5–10% travel based on business needs WeAreLilly
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace‑accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $64,500 – $151,800.
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Analyst - Risk Analytics Developer
role at
Eli Lilly and Company Integrated Risk Management Program Overview
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. Position Description
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. Primary Position 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 ServiceNow GRC, SAP, Workday, SuccessFactors, 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 Operational Excellence 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 Process Ownership 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 initiatives that strengthen Lilly’s integrated risk intelligence capabilities Basic Qualifications/Requirements
Bachelor's Degree in Business Analytics, Statistics, Data Science, or related field 3+ years of relevant professional experience in data analytics Advanced proficiency with Power BI, including DAX, data modeling, and dashboard design Strong proficiency with SQL and data transformation tools Experience in project management and delivering analytics solutions in business environments 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 with Microsoft Fabric components (Data Factory, Synapse Data Engineering, Data Warehouse, Real‑Time Analytics) Familiarity with medallion architecture and modern data platform design patterns Professional experience building automation solutions using Power Platform (Power Automate, Power Apps) Experience developing artificial intelligence solutions or working with AI platforms Experience working in or supporting risk management, internal audit, compliance, or assurance functions Familiarity with ServiceNow GRC or enterprise risk management platforms Experience in pharmaceutical, healthcare, or highly regulated industries Ability to effectively collaborate with diverse cross‑functional partners across technical and business domains Strong written and interpersonal communication skills, with ability to translate technical insights into business language Detail‑oriented with high degree of accuracy and ability to thrive in fast‑paced, dynamic environments with competing priorities Self‑starter who works independently and proactively across distributed teams Capable of recognizing opportunities for process enhancement and implementing lasting, innovative solutions Demonstrated strong motivation, rapid learning agility, and growth mindset Demonstrated critical thinking skills applied to complex, ambiguous problem spaces Travel
Up to 5–10% travel based on business needs WeAreLilly
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace‑accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $64,500 – $151,800.
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