Process Methods & Tools Intern

GOTAFE

Kokomo (IN)

Presencial

USD 23.000 - 39.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Wage range $17.00-$28.65

Descripción de la vacante

GOTAFE in Kokomo, Indiana is seeking a student or recent graduate to assist in analyzing engineering processes, collecting and organizing data from multiple sources, and developing dashboards and KPIs to monitor process and project performance.

You will collaborate with engineering teams and IT stakeholders to improve digital solutions, document processes, create training materials, support knowledge transfer, and deliver data-driven insights through visual analytics.

Formación

  • Pursuing a degree in Electrical Engineering, Systems Engineering, Mechanical Engineering, Computer Science, Data Analytics, Information Systems, or related discipline.
  • GPA of 3.0 on a 4.0 scale, or B average, at hire date.
  • Strong analytical and problem-solving skills.
  • Experience with Microsoft Office, Power BI, SharePoint, Jira, or similar tools.
  • Proficient with Microsoft Excel including data analytics features.
  • Interest in engineering processes, quality systems, and lifecycle management.
  • Strong communication, organization, and teamwork abilities.
  • Ability to work with large datasets and present insights clearly.

Responsabilidades

  • Assist in analyzing engineering processes and identifying efficiency opportunities.
  • Collect, organize, and analyze data from multiple sources for monitoring and decisions.
  • Develop and maintain dashboards, reports, and KPIs for performance communication.
  • Support quality and process metrics to assess effectiveness and adoption.
  • Contribute to engineering tool chains and reporting solutions development.

Conocimientos

Analytical thinking
Problem-solving
Data analysis
Communication
Teamwork
Data visualization

Educación

Engineering/CS degree

Herramientas

Power BI
SharePoint
Jira
Microsoft Excel

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.
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