Location: Toronto, ON, Canada Department: Data Analytics/Warehousing & Business Intelligence
What We Offer
Co-op fee reimbursement up to $1000, if eligible
Opportunities to take part in job related training and development
Growth and progression opportunities within Irving Tissue and the larger network of the J.D. Irving group of companies
Signing incentives for full-time roles for graduating students who have completed a work term within J.D. Irving (if applicable)
New Brunswick Region Pay Range Information: The expected base salary range for this position is $19.89 to $24.75. Placement in the salary range will be based on relevant job-related factors like candidate experience, education, skills and qualifications.
Ontario Region Pay Range Information: The expected base salary range for this position is $21.88 to $27.15. Placement in the salary range will be based on relevant job-related factors like candidate experience, education, skills and qualifications.
The Manufacturing Systems Co-op Student supports the Manufacturing Systems team in the implementation, enhancement, and maintenance of manufacturing applications and digital transformation initiatives. This role provides hands-on experience working with Manufacturing Execution Systems (MES), industrial data platforms, reporting tools, and manufacturing operations teams.
Assist with Manufacturing Execution System (MES) implementation, upgrade, and enhancement projects.
Support data collection, analysis, and reporting for manufacturing systems and operational performance metrics.
Document business processes, user requirements, workflows, and system procedures.
Participate in system testing, validation, and issue tracking activities to ensure application quality and performance.
Assist with troubleshooting manufacturing system issues and provide first-level support to end users.
Collaborate with Operations, Quality, Maintenance, Engineering, and IT teams on manufacturing systems initiatives and continuous improvement projects.
Assist in creating dashboards, reports, and visualizations using manufacturing and operational data.
Support the configuration, validation, and deployment of manufacturing system enhancements under the guidance of senior team members.
Contribute to continuous improvement efforts by identifying opportunities to improve system utilization, data quality, and business processes.
Learn and apply manufacturing systems, industrial data platforms, and digital manufacturing best practices.
Currently pursuing a degree or diploma in Engineering, Computer Science, Information Technology, Data Analytics, Business Technology Management, or a related field.
Interest in manufacturing operations, automation, and digital transformation.
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Experience with Microsoft Excel, Power BI, or reporting tools is an asset.
Basic understanding of SQL, databases, or programming is an asset.
Familiarity with MES, AVEVA PI, PARCview, RTDuet, ERP, or manufacturing systems is an asset.
What they are looking for
Details
- Work type
- Onsite
- Compensation
- Paid
- Remote eligible
- No
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