Associate Digital Manufacturing Engineer

Overview 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. Responsibilities Partner with operations, engineering, IT, and business stakeholders to define reporting requirements and KPIs. Design, build, and maintain dashboards that provide visibility into production performance, quality, reliability, and efficiency. Integrate data from business systems and process systems into dashboards and reporting tools. Ensure data accuracy, consistency, and usability across connected systems. Identify opportunities to automate manual reporting and improve data flow between systems. Support digital manufacturing initiatives, including system connectivity, data modeling, and visualization. Troubleshoot data issues and collaborate with cross-functional teams to resolve root causes. Document dashboard logic, data sources, and business rules. Train users and support adoption of digital tools and analytics solutions. Qualifications Bachelors degree in Manufacturing Engineering, CIS Engineering, Business Systems Engineering or technical-related field is required. New graduates encouraged to apply. Experience in manufacturing, digital engineering, data analytics, or system integration is preferred. Other preferred knowledge, skills or abilities include: Strong understanding of manufacturing processes and business operations Experience creating/using dashboards and visualization tools such as Power BI, OSI PiVision Familiarity with data integration concepts, APIs, SQL, or industrial data platforms Ability to translate business needs into technical requirements and practical solutions Strong problem-solving, communication, and collaboration skills Experience connecting ERP, MES, data historian, quality, maintenance, and PLC Systems Knowledge of manufacturing KPIs such as OEE, throughput, downtime, yield, scrap, and cycle time