Manufacturing Analytics Engineer

About the role

This person is a member of the in-house analytics and operational support team, primarily responsible for data collection and analysis of the processes and products manufactured at Saft Cockeysville. The role focuses on data retrieval, metrics displays, and data reporting for business support functions such as purchasing, accounting, and warehousing, as well as providing production support for ongoing projects.

Must be a US citizen or green card holder.

Responsibilities

• Work with business support functions to determine what data to gather and the most efficient way to collect and transmit this data.
• Process, review, and publish data metrics in a manner that aids in decision making.
• Ensure consistency in data capture, data storage, data transfer, and data processing methodology.
• Perform data quality validation of business support data as produced by the analytics department.
• Train users of all levels in the tools developed by the data analytics department.
• Develop systems that are in line with production uptime requirements.
• Support the implementation and operation of a site-level Manufacturing Execution System.
• Troubleshoot production issues.
• Support Digital 4.0 project initiatives.

Requirements

• BS in a technical discipline, mathematics, computer science, and/or evidence of exceptional experience.
• Experience with data processing, analysis, and validation using Microsoft products is required.
• SQL experience is required.
• Experience with data visualization using Microsoft products.
• Knowledge of Microsoft Navision is helpful.
• Willingness to learn and retain knowledge of basic programming skills is desired in the following: C#, ASP.net, and Visual Basic.
• Excellent interpersonal communication abilities, including written and verbal, with a strong emphasis on training users in software and hardware processes.
• Must be available via phone for 24/7 plant support.
• Self-starter with curiosity about processes and products, willing to dive into problems.
• Strong sense of teamwork and ability to bridge cross-functional groups to achieve desired outcomes.