IT Manufacturing Data Engineer

Role Summary

IT Manufacturing Data Engineer. As a Manufacturing Data Engineer at Elanco, you will be the analytical engine driving operational excellence across production sites. Reporting to the Engineering team, you will transform production data into insights that improve Overall Equipment Effectiveness (OEE). This role is ideal for a data-driven professional who seeks actionable insights within complex manufacturing data to increase efficiency, improve product yield, and enhance quality and compliance. Location: Indianapolis, IN (Hybrid).

Responsibilities

• OEE Analysis and Reporting: Collect, analyze, and report on OEE metrics (Availability, Performance, Quality) for critical production lines; develop and maintain dashboards and reports that provide clear, timely visibility into equipment performance for operations teams.
• Identify Improvement Opportunities: Analyze manufacturing data from systems like MES, SCADA, and Data Historians to identify 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 to guide continuous improvement efforts of manufacturing and engineering teams.
• Support Root Cause Analysis: Provide data and analytical support for deviation investigations and root cause analysis related to production losses and quality events, helping ensure robust CAPAs.
• Data Integrity and Systems: Partner with Automation and IT teams to ensure data accuracy and integrity from manufacturing systems, ensuring it aligns with GxP and ALCOA+ principles.
• Process Optimization: Collaborate with process engineers and operations teams to monitor the impact of process changes and quantify the results to validate improvement initiatives.
• Communicate Findings: Present analytical findings, trends, and recommendations to stakeholders from shop-floor to site leadership in a clear and actionable manner.

Qualifications

• Required: Bachelor's degree in Engineering, Statistics, Data Analytics, or a related quantitative field.
• Required: Manufacturing experience in a manufacturing environment, preferably within a GxP-regulated industry such as pharmaceuticals, biologics, or animal health.
• Required: Strong understanding of Overall Equipment Effectiveness (OEE) principles and their application in manufacturing.
• Required: Strong analytical skills; ability to work with large datasets, perform quantitative analysis, and identify meaningful trends and correlations that drive business value.
• Required: Data Visualization Tools; proficiency with software such as Power BI or Tableau to create effective dashboards and reports.
• Required: Data handling skills; strong Microsoft Excel skills and proficiency in SQL for querying databases is highly desired.
• Required: Familiarity with Manufacturing Systems; experience with MES, SCADA, or Data Historians (e.g., OSI PI) is a significant plus.
• Required: Problem-Solving Mindset; a curious, methodical approach to problem-solving with a passion for uncovering the root causes of performance issues.
• Required: Communication Skills; ability to clearly communicate data-driven insights to both technical and non-technical audiences.
• Preferred: Cloud and DevSecOps Familiarity; familiarity with cloud platforms (Azure or GCP) and DevSecOps concepts.

Additional Requirements

• Travel: 0-10%