Data Analytics Systems Engineer

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.

This position is responsible for developing, deploying, and supporting Data Analytics capabilities at the Branchburg Manufacturing facility to meet business and regulatory needs. The role involves creating and maintaining dashboards, managing data lakes and repositories, and ensuring the seamless operation of data analytics tools. The Data Analytics Engineer will play a key role in driving the site's data analytics strategy, enhancing decision-making processes, and supporting continuous improvement initiatives. Additionally, the role includes troubleshooting and updating existing dashboards, assisting with system updates and enhancements, and solving computerized system issues in accordance with corporate standards and guidelines.

Key Objectives/Deliverables: 

Manage for Results /Strategic Planning: 

• Create, modify, and enhance dashboards and systems to satisfy business information demands. Facilitate changes by delivering feedback from customers to IT teams and communicate any changes applied ensuring operational procedures stay current and relevant.
• Assure adherence of applicable regulatory (i.e. cGXP, CFR, etc.) practices during execution of all work activities. Participate in audits, inspections, and associated readiness activities.
• Oversee and participate in the installation, configuration, and validation of key cGXP dashboards and tools. Develop and execute project plans, ensuring timely and quality delivery of solutions. Manage system customizations, scripts, and user interface enhancements.
• Proven ability to translate user requirements into dashboards and tools that drive business value.
• Design and implement integrations between Systems and Data Lake / Data Hub /Data Repositories to leverage when creating dashboarding capabilties.
• Responsible for daily support of end users, and provide end user training for all dashboards and analytics created.
• Perform the pre-validation assessment of all cGXP systems and dashboards, ensuring that all validation requirements have been met prior to system testing.
• Enable data-driven decision making in pharmaceutical Quality Control and Manufacturing by developing and deploying interactive, easy-to-use dashboards and reports that support self-service analytics, ensure secure and compliant access to critical data, and provide real-time insights to enhance process efficiency, product quality, and regulatory compliance.
• Ensure that the technology solutions being implemented are compliant with all relevant regulations (i.e. 21 CFR Part 11, Sarbanes Oxley, GxP, privacy data practices, local and corporate policies).
• Identify, recommend, and implement automated solutions to address QC laboratory or manufacturing operations. Execute with precision, speed, and simplicity, ensuring compliance with Computer Systems Validation policies, standards, procedures, and practices. Including the use of AI technology for automation and/or simplification of work.  Train and assist business users in proper use of applications and computerized systems.
• Foster professional and inclusive behavior, invite new ideas and differing perspectives among team members, assuring an on-going positive relationship with the customers and other members of the IDS organization. Inspire and recognize teamwork.
• Stay active and current in business technology trends, direction and innovation related to business process and technology areas of focus by participating in external forums, conferences, and other venues as necessary.
• Ensure compliance to corporate and site policies and procedures to be audit ready, mitigate risk, and follow quality management practices. Support and abide by applicable Lilly policies as indicated in the Lilly Red Book and other company policies and procedures. All corporate compliance training requirements must be met as required and defined.

Basic Requirements: 

• BS/BA in Computer Science or related field required<