Quality Systems Data Analyst Winter/Spring Co-Op

We are looking for self-motivated and detail-oriented individuals to support data analysis and integration within our Quality Systems department, available for a 6 month Winter/Spring Co-op (January - June 2027).

This position provides valuable real-world experience for students pursuing future careers in Data Analytics, Project Management, Business Analysis, Quality Systems, Operations, Process Improvement, or Information Systems.

The Co-Op will gain hands-on experience working with cross-functional teams across Quality, Engineering, Operations, and Management while supporting data analysis, reporting, project coordination, and continuous improvement initiatives. This role offers exposure to Quality Management Systems (QMS), business process optimization, data visualization, and project execution in a fast-paced corporate environment.

The Quality Systems Co-Op will support a variety of Quality Systems initiatives, including data analytics, reporting, project coordination, process improvement, and system administration activities. The student will assist with maintaining Power BI reports, analyzing business and quality data, developing reports and dashboards, supporting system enhancements, project documentation, and contributing to continuous improvement efforts across the organization. The intern shall support our quality group by building data analytics, report generation, and visualization apps. The right candidate shall exhibit skills of re-designing our SharePoint web applications.

This position is ideal for students interested in Data Analytics, Project Management, Quality Systems, Engineering, Information Systems, Business Administration, or related disciplines seeking practical experience in a collaborative corporate environment.

* Analyze data from various business and quality systems to identify trends, risks, and improvement opportunities.
* Develop and maintain reports, dashboards, data visualizations, and project tracking tools.
* Support data collection, validation, and reporting activities to ensure data accuracy and integrity.
* Assist with testing, validation, and documentation of system updates and process improvements.
* Assist with administration and reporting activities within platforms such as SharePoint, Power BI, Salesforce, Microsoft Teams, and other business systems.
* Support planning, scheduling, and coordination of Quality Systems and business improvement projects.
* Assist with project meetings by preparing agendas, documenting meeting minutes, and tracking action items.
* Monitor project tasks, timelines, and deliverables while providing status updates to stakeholders.
* Create, organize, and maintain project documentation, reports, and records.
* Help prepare presentations, summaries, and communications for project teams and management.
* Support continuous improvement initiatives by evaluating business processes and recommending efficiencies.
* Collaborate with cross-functional teams to support Quality Management System (QMS) activities and operational objectives.

* Familiarity with data analysis, reporting, and visualization tools such as Power BI.
* Experience working with large datasets and data organization concepts.
* Exposure to SharePoint, Salesforce, Microsoft Teams, or similar business applications.
* Basic knowledge of SQL, Python, or other data analysis tools is a plus.
* Ability to interpret data and communicate findings effectively to stakeholders.
* Strong analytical, organizational, and problem-solving skills.
* Basic understanding of project management principles and project lifecycle concepts.
* Understanding Quality Management Systems and quality standards such as ISO 9001 and IATF 16949 is preferred.
* Strong attention to detail and documentation practices.
* Excellent written and verbal communication skills.
* Ability to work independently and collaboratively in a team environment.
* Demonstrated willingness to learn new technologies, tools, and business processes.

* Currently pursuing a bachelor's or master's degree in Computer Science, Information Systems, Business Administration, Quality Management, Industrial Engineering, Project Management, Data Analytics, or related fields.
* Proficiency in Microsoft Office Suite, particularly Excel, Word, and PowerPoint.