Manufacturing Data Engineer

At Elanco (NYSE: ELAN) – it all starts with animals
As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets.
At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose – all to Go Beyond for Animals, Customers, Society and Our People.
At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.
Making animals' lives better makes life better – join our team today
Your Role:
Manufacturing Data Engineer

As a Manufacturing Data Engineer at Elanco, you will be the analytical engine driving operational excellence across our production sites, specializing in transforming production data into insights that improve our Overall Equipment Effectiveness (OEE). This role is perfect for a data-driven individual passionate about finding actionable insights within complex manufacturing data to increase efficiency, improve product yield, and enhance quality and compliance.

Your Responsibilities:

• OEE Analysis & Reporting: Collect, analyze, and report on OEE metrics for critical production lines, developing and maintaining dashboards for clear visibility into equipment performance.
• Identify Improvement Opportunities: Analyze manufacturing data from systems like MES, SCADA, and Data Historians to identify primary causes of production losses.
• Support Data-Driven Decisions & Root Cause Analysis: Translate complex datasets into clear, actionable insights and recommendations to guide continuous improvement efforts and support deviation investigations.
• Data Integrity and Systems: Partner with Automation and IT teams to ensure the accuracy and integrity of data captured from manufacturing systems, aligning with GxP and ALCOA+ principles.
• Process Optimisation & Communication: Collaborate with process engineers and operations to monitor the impact of process changes, validate improvement effectiveness, and clearly present analytical findings to stakeholders.

What You Need to Succeed (minimum qualifications):

• Education: Bachelor's degree in Engineering, Statistics, Data Analytics, or a related quantitative field.
• Experience working in a manufacturing environment, preferably within a GxP-regulated industry.
• Strong understanding of OEE principles and proven analytical skills to work with large datasets, identify trends, and drive business value.

What will give you a competitive edge (preferred qualifications):

• Proficiency with data visualisation software such as Power BI or Tableau.
• Strong skills in Microsoft Excel and proficiency in SQL for querying data from databases.
• Experience with or exposure to data from systems like MES, SCADA, or Data Historians (e.g., OSI PI).
• A curious and methodical approach to problem-solving, with a passion for digging into data to uncover the "why" behind performance issues.
• The ability to communicate data-driven insights clearly and concisely to both technical and non-technical audiences.

Additional Information:

• Travel: 0-10%
• Location: Hook, UK - Hybrid Work Environment

Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles
Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status