Process Methods & Tools Intern

NWU; Kokomo (IN); Presencial; USD 23.000 - 39.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hourly wage range: $17.00 - $28.65

Descripción de la vacante

NWU in Kokomo, IN seeks a student or recent graduate to assist in analyzing engineering processes and data to drive efficiency and standardization. You will develop dashboards and KPIs, support tool chains, and collaborate with IT and engineering teams to improve digital solutions for product development.

The role emphasizes data collection, reporting, and creating training materials while communicating insights to technical and non-technical audiences across the organization.

Formación

• Enrolled or recently graduated from an accredited college/university.
• GPA 3.0/4.0 or B average at hire date.
• Pursuing degree in Electrical Engineering, Systems Engineering, Mechanical Engineering, Computer Science, Data Analytics, Information Systems, or related discipline.
• Strong analytical and problem-solving skills.
• Experience with Power BI, SharePoint, Jira, or similar data analytics and reporting tools.
• Proficient with Microsoft Excel including data analytics tools.

Responsabilidades

• Assist in analyzing engineering processes and opportunities for efficiency improvements and standardization.
• Collect, organize, and analyze data from multiple sources to support decision-making.
• Develop dashboards, reports, visualizations, and KPIs that communicate performance.
• Support creation and maintenance of quality metrics and lifecycle management supports.
• Contribute to development, testing, and enhancement of engineering tool chains and reporting solutions.
• Support tool configuration and alignment with hardware engineering process requirements.
• Collaborate with engineering teams and IT to improve digital solutions for product development.
• Document processes, create training materials, and support knowledge transfer.
• Analyze trends and lessons learned to provide recommendations for continuous improvement.
• Support management reporting by presenting data-driven insights via dashboards and visuals.

Conocimientos

Analytical thinking

Problem-solving

Data analytics

Communication

Educación

Electrical Engineering

Systems Engineering

Mechanical Engineering

Computer Science

Data Analytics

Information Systems

Herramientas

Power BI

SharePoint

Jira

Microsoft Excel

Microsoft Office

Descripción del empleo

Your Role

Here’s what you will be doing:

• Assist in analyzing engineering processes and identifying opportunities for efficiency improvements and standardization.
• Collect, organize, and analyze data from multiple sources to support process performance monitoring and business decision-making.
• Develop and maintain dashboards, reports, visualizations, and key performance indicators (KPIs) that communicate process and project performance.
• Support the creation and maintenance of quality and process metrics used to assess effectiveness, adoption, and compliance.
• Contribute to the development, testing, and enhancement of engineering tool chains and reporting solutions.
• Support tool configuration, implementation, and alignment with hardware engineering process requirements.
• Collaborate with engineering teams and IT stakeholders to evaluate and improve digital solutions that support product development activities.
• Assist in documenting processes, creating training materials, and supporting knowledge transfer activities for engineering teams.
• Analyze trends and lessons learned from project and process data and provide recommendations for continuous improvement.
• Support management reporting by presenting data-driven insights through dashboards, summaries, and visual analytics.

About You

The company is looking for:

• Currently enrolled in or a graduate from an accredited college or university.
• GPA of 3.0 on a 4.0 scale, or B average, upon initial hire date.
• Pursuing a degree in Electrical Engineering, Systems Engineering, Mechanical Engineering, Computer Science, Data Analytics, Information Systems, or related discipline.
• Strong analytical and problem-solving skills.
• Experience with Microsoft Office, Power BI, SharePoint, Jira, or similar data analytics and reporting tools.
• Proficient with Microsoft Excel including data analytics tools.
• Interest in engineering processes, quality systems, and engineering lifecycle management.
• Strong communication, organization, and teamwork skills.
• Ability to work with large datasets and communicate insights effectively to technical and non-technical audiences.

Compensation & Benefits

• Hourly wage range: $17.00 - $28.65.