Chosen individuals should be comfortable with various data concepts (data wrangling, data modeling, data mining) and have a deep understanding of databases (concepts, schemas, normalization). Finally, a solid understanding of industry tools and languages like PowerBI, Power Apps Microsoft Fabric, Tableau, Python, ‘R’/Shiny, etc. Be a part of the team that delivers cutting edge solutions that bolster the exciting future of Lilly CTF. 

Primary Responsibilities

This role acts as the business subject matter expert for Data Analytics within the CTF Team. You will execute business projects while maintaining capabilities on system processes, integrations and improvements. Collaboration with other functional areas within the organization and IT to execute implementation is key. You will also have opportunities partner with our vendors who are delivering these capabilities. Key responsibilities of this role include:

• Lead clinical technology projects that span across multiple functions, vendors, and external organizations.
• Ensure process and/or technology interfaces are optimized across all affected areas.
• Provide business case analysis as needed.
• Define, measure and achieve proficiency with new tools/technology and processes applicable to focus area.
• Support internal audits and external inspections.
• Provide knowledge of technologies and how they can enable processes across clinical development
• Continually seek and implement means of improving processes to reduce cycle time and decrease work effort.
• Resolve operational issues that arise and apply shared findings across functions and to external organizations
• Create best practices to be shared cross functionally.
• Perform root cause analysis and apply knowledge to current and future projects.
• Partner with various business and therapeutic areas as appropriate to deliver the portfolio.
• Develop, track and maintain metrics for area of focus.
• Partner with LRL Financial and Procurement to handle budgets, invoice processing, work orders and contracts related to projects.
• Identify, anticipate, monitor and communicate global customer needs and requirements that are related to process and/or technology.
• Partner and/or strengthen relationships between key providers or customers within CDDA and IT.
• Partner with vendors to facilitate a good customer experience.
• Actively participate across the team.

Basic Requirements

• Bachelor’s degree preferably, in Data Science or Analytics or IT, or equivalent work experience, preferred.
• Experience in reporting, analytics, or clinical information flow with expertise in related processes and evolving technologies pertaining to reporting, metrics, and/or analytics preferred.
• Applied experience in medical, quality, clinical drug development, or clinical information flow, preferred.
• Excellent oral and written communication skills; able to communicate clearly and succinctly with team members and leadership.
• Strong problem-solving skills; able to anticipate and recognize problems, diagnose root causes and take corrective action to prevent recurrence within the team.
• Excellent self-management and organizational skills; able to manage workload, set personal priorities and adjust as needed.  
• Flexibility to adjust quickly and effectively to frequent change and altered priorities.  

Additional Preferences/Other Information

• Strong interpersonal and leadership skills.
• Project management skills.
• Supply chain and logistics experience.
• Technical knowledge to develop requirements and/or study project deliverables (i.e. SAS, .xml).
• Power Platform Developer experience with knowledge in utilizing PowerBI, PowerApps and Microsoft Fabric to enable new business processes.
• Vendor management/oversight skills.
• Strong business insight.
• Technical/System experience with clinical or laboratory data.
• Applied knowledge in Predictive Analytics, Prescriptive Analytics, Machine Learning, Metrics, Reporting and visualizations.
• Applied understanding of Tableau, PowerBI, Power Apps, Microsoft Fabric, Python ‘R’/Shiny, etc.
• Applied experience in data wrangling, data modeling, data mining, etc.
• Hands-on experience and understanding of database concepts, database schemas, and the normalization of data.
• Limited travel, including international, up to 10%