Job 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. • *Organization Overview:** The Analytics Engineering and Visualization Hub is a new team within Finance Digital Transformation. Its mission is to build trusted data products—including semantic models, dashboards, and other tools—that empower Finance and the broader organization to make faster, smarter decisions. By standardizing data and visual design, we enable scalable analytics, data literacy, and the foundation for AI-driven solutions. • *Position Description:** The Analyst **-** Analytics Engineering and Visualization Hub will primarily be responsible to build and maintain high-impact, aesthetically polished dashboards and enterprise-grade semantic models, while also contributing to the data engineering workflows that support them. The ideal candidate combines deep Power BI expertise with experience working in Microsoft Fabric, including the ability to shape, transform, and manage data pipelines using lakehouse or warehouse environments. This role reports to the Senior Director of the Analytics Engineering and Visualization Hub. • *Responsibilities:** + Partner with Finance stakeholders, data engineers, and BI peers to understand business needs and ensure data products deliver accurate, relevant, and actionable insights + Build efficient and scalable Power BI semantic models using best practices in data modeling, DAX, performance optimization, and row-level security + Design intuitive, visually compelling dashboards aligned with UX/UI principles to support financial planning, forecasting, and operational decision-making + Develop and maintain data pipelines and transformation logic using Microsoft Fabric tools (e.g., Dataflows Gen2, Lakehouse, Notebooks, Pipelines) + Collaborate with enterprise data engineering teams to prepare and optimize data from a variety of sources for reporting, including cleansing, shaping, and aggregating data in Fabric environments + Define and enforce standards, templates, and documentation to promote consistent development practices and broad adoption of the hub-developed assets + Support the rollout, enablement, and training of self-service users within Finance + Troubleshoot and resolve issues to improve the performance, reliability, and usability of reports, dashboards, and models • *Basic Requirements:** + Bachelor’s degree in Finance, Computer Science, Data Analytics, or a related field + 3+ years of experience building Power BI reports and semantic models + Hands-on experience with Microsoft Fabric + 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:** + Power BI certification (e.g., PL-300) or Microsoft Fabric certification (e.g., DP-600 or successor) + Familiarity with Azure and AWS cloud platforms + Experience contributing to enterprise data governance and standardization efforts + Proficient in DAX, Power Query (M), and best practices in data modeling and visualization + Hands-on experience with the use of Lakehouses, Warehouses, Dataflows Gen2, and Pipelines + Familiarity with data transformation techniques using SQL and/or PySpark within Fabric notebooks + Experience building and managing secure, scalable semantic models with robust access controls + Strong collaboration and communication skills, with the ability to work across business and technical stakeholders • *Additional Information:** + Travel 0-10% 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. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $63,750 - $145,200 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. \#WeAreLilly 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. • *Organization Overview:** The Analytics Engineering and Visualization Hub is a new team within Finance Digital Transformation. Its mission is to build trusted data products—including semantic models, dashboards, and other tools—that empower Finance and the broader organization to make faster, smarter decisions. By standardizing data and visual design, we enable scalable analytics, data literacy, and the foundation for AI-driven solutions. • *Position Description:** The Analyst **-** Analytics Engineering and Visualization Hub will primarily be responsible to build and maintain high-impact, aesthetically polished dashboards and enterprise-grade semantic models, while also contributing to the data engineering workflows that support them. The ideal candidate combines deep Power BI expertise with experience working in Microsoft Fabric, including the ability to shape, transform, and manage data pipelines using lakehouse or warehouse environments. This role reports to the Senior Director of the Analytics Engineering and Visualization Hub. • *Responsibilities:** + Partner with Finance stakeholders, data engineers, and BI peers to understand business needs and ensure data products deliver accurate, relevant, and actionable insights + Build efficient and scalable Power BI semantic models using best practices in data modeling, DAX, performance optimization, and row-level security + Design intuitive, visually compelling dashboards aligned with UX/UI principles to support financial planning, forecasting, and operational decision-making + Develop and maintain data pipelines and transformation logic using Microsoft Fabric tools (e.g., Dataflows Gen2, Lakehouse, Notebooks, Pipelines) + Collaborate with enterprise data engineering teams to prepare and optimize data from a variety of sources for reporting, including cleansing, shaping, and aggregating data in Fabric environments + Define and enforce standards, templates, and documentation to promote consistent development practices and broad adoption of the hub-developed assets + Support the rollout, enablement, and training of self-service users within Finance + Troubleshoot and resolve issues to improve the performance, reliability, and usability of reports, dashboards, and models • *Basic Requirements:** + Bachelor’s degree in Finance, Computer Science, Data Analytics, or a related field + 3+ years of experience building Power BI reports and semantic models + Hands-on experience with Microsoft Fabric + 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:** + Power BI certification (e.g., PL-300) or Microsoft Fabric certification (e.g., DP-600 or successor) + Familiarity with Azure and AWS cloud platforms + Experience contributing to enterprise data governance and standardization efforts + Proficient in DAX, Power Query (M), and best practices in data modeling and visualization + Hands-on experience with the use of Lakehouses, Warehouses, Dataflows Gen2, and Pipelines + Familiarity with data transformation techniques using SQL and/or PySpark within Fabric notebooks + Experience building and managing secure, scalable semantic models with robust access controls + Strong collaboration and communication skills, with the ability to work across business and technical stakeholders • *Additional Information:** + Travel 0-10% 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. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $63,750 - $145,200 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. \#WeAreLilly

Requirements