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!

Driven by the quickening pace of innovation, Animal Health is on the verge of a revolution, powered by digital business models, technology and data.

Elanco IT is a catalyst for change, partnering to identify and deliver transformative solutions to solve our biggest business problems .

This includes four strategic priorities :

Pipeline Acceleration: Optimise the search and approval of high impact medicines with a focus on speed, cost and precision.

Manufacturing Excellence: Improve the efficiency, quality and consistency of core manufacturing processes, specifically execution and equipment effectiveness.

Sales Effectiveness: Simplify the process to find, trust and consume relevant customer insights that drive sales growth and improved engagement.

Productivity: Expand operating margin through efficiency by systematically reducing our operating expenses across the company, improving profitability.

Your role:

As a Manufacturing Data Engineer at Elanco, you will be the analytical engine driving operational excellence across our production sites.

Reporting to the Engineering team, you will speciali s e in transforming production data into insights that improve our Overall Equipment Effectiveness (OEE).

This role is perfect for a data-driven individual who is 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: Be responsible for the process of collecting, analysing, and reporting on OEE metrics (Availability, Performance, Quality) for critical production lines. You will develop and maintain dashboards and reports that provide clear, timely visibility into equipment performance for the operations teams.

• Identify Improvement Opportunities: Analyse manufacturing data from systems like MES, SCADA, and Data Historians to identify the primary causes of production losses, such as equipment downtime, slow cycle times, and yield loss.

• Support Data-Driven Decisions: Translate complex datasets into clear, actionable insights and recommendations. Your analysis will help guide the continuous improvement efforts of our manufacturing and engineering teams.

• Support Root Cause Analysis: Provide data and analytical support for deviation investigations and root cause analysis exercises related to production losses and quality events, helping to ensure robust corrective and preventative actions (CAPAs).

• Data Integrity and Systems: Partner with Automation and IT teams to ensure the accuracy and integrity of data captured from our manufacturing systems, ensuring it aligns with GxP and ALCOA+ principles.

• Process Optimisation: Collaborate with process engineers and operations teams to monitor the impact of process changes and validate the effectiveness of improvement initiatives by quantifying the results.

• Communicate Findings: Clearly present analytical findings, trends, and recommendations to various stakeholders, from shop-floor teams to site leadership, in a way that is easy to understand and act upon.

What You Need to Succeed (minimum qualifications):

• Educational Background: A Bachelor's degree in Engineering , Statistics, Data Analytics, or a related quantitative field.

• Manufacturing Experience: Experience working in a manufacturing environment is essential, preferably within a GxP -regulated industry such as pharmaceuticals, biologics, or animal health.

• OEE Expertise: A strong understanding of Overall Equipment Effectiveness (OEE) principles, the underlying metrics, and how they are applied in a manufacturing context.

• Strong Analytical Skills: Proven ability to work with large datasets, perform quantitative analysis, and identify meaningful trends and correlations that drive business value.

• Data Visuali s ation Tools: Proficiency with data visuali s ation software such as Power BI or Tableau to create effective, user-friendly dashboards and reports.

• Data Handling Skills: Strong skills in Microsoft Excel are a must . Proficiency in SQL for querying data from databases is highly desired.

• Familiarity with Manufacturing Systems: Experience with or exposure to data from systems like MES, SCADA, or Data Historians (e.g., OSI PI) is a significant plus.

• Problem-Solving Mindset: A curious and methodical approach to problem-solving, with a passion for digging into data to uncover the "why" behind performance issues.

• Communication Skills: The ability to communicate data-driven insights clearly and concisely to both technical and non-technical audiences.

• Cloud and DevSecOps Familiarity (Nice to Have) : Familiarity with cloud platforms (Azure or GCP) and DevSecOps concepts.

Additional Information:

• Travel: 0-10%

• Location: Hook, UK - Hybrid Work Environment
  

Don’t meet every single requirement? Studies have shown underrepresented 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