The Data Analytics Engineer is accountable for supporting and executing activities related to the solution design, delivery, operational support, continuous improvement, change management, and lifecycle management of site Automation Systems (Process Automation System, Manufacturing Execution System, and Data Historians), Data Analytics solutions (SQL, Azure AI, Python – Domino – Jupyter Notebook, Tableau, Power BI, and others), and associated boundary systems used in the production and monitoring of Biologics products for commercial supply. The incumbent must be independent, goal-oriented, flexible, able to work efficiently across multiple projects, enthusiastic, and innovative, with a solid understanding of good manufacturing practices and technologies to support the needs of the Site/Network Manufacturing Teams.
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Job Type
Full-time
Career Level
Mid Level