Associate Digital Manufacturing Engineer

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    "description": "<h2>Overview</h2>\n<p>In this new position based in Evansville, the Associate Digital Manufacturing Engineer will make a positive impact by collaborating with global and site stakeholders to plan, deliver, maintain and continuously improve critical digital processes, products, services to maximize site value.</p>\n<h2>Responsibilities</h2>\n<ul>\n <li>Partner with operations, engineering, IT, and business stakeholders to define reporting requirements and KPIs.</li>\n <li>Design, build, and maintain dashboards that provide visibility into production performance, quality, reliability, and efficiency.</li>\n <li>Integrate data from business systems and process systems into dashboards and reporting tools.</li>\n <li>Ensure data accuracy, consistency, and usability across connected systems.</li>\n <li>Identify opportunities to automate manual reporting and improve data flow between systems.</li>\n <li>Support digital manufacturing initiatives, including system connectivity, data modeling, and visualization.</li>\n <li>Troubleshoot data issues and collaborate with cross-functional teams to resolve root causes.</li>\n <li>Document dashboard logic, data sources, and business rules.</li>\n <li>Train users and support adoption of digital tools and analytics solutions.</li>\n</ul>\n<h2>Qualifications</h2>\n<ul>\n <li>Bachelors degree in Manufacturing Engineering, CIS Engineering, Business Systems Engineering or technical-related field is required.</li>\n <li>Experience in manufacturing, digital engineering, data analytics, or system integration is preferred.</li>\n</ul>\n<p>Other preferred knowledge, skills or abilities include:</p>\n<ul>\n <li>Strong understanding of manufacturing processes and business operations</li>\n <li>Experience creating/using dashboards and visualization tools such as Power BI, OSI PiVision</li>\n <li>Familiarity with data integration concepts, APIs, SQL, or industrial data platforms</li>\n <li>Ability to translate business needs into technical requirements and practical solutions</li>\n <li>Strong problem-solving, communication, and collaboration skills</li>\n <li>Experience connecting ERP, MES, data historian, quality, maintenance, and PLC Systems</li>\n <li>Knowledge of manufacturing KPIs such as OEE, throughput, downtime, yield, scrap, and cycle time</li>\n</ul>",
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