8 Month Term – Summer 2026 (September - April)

For this position we are seeking a student with a passion for workforce development, data-driven decision making and continuous improvement in an industrial environment. The ideal candidate is curious about how effective learning programs contribute to operational safety, productivity and workforce capability within a mining operation.

Key Responsibilities

• Be a courageous safety leader, adhere to and sponsor safety and environmental rules and procedures
• Plan, coordinate, and track training programs across Highland Valley Copper
• Develop and maintain data-driven training dashboards, predictive insights and summary reports to track key performance indicators and support decision-making
• Apply data science and analytical techniques to evaluate training effectiveness and workforce capability gaps
• Assist in the preparation and delivery of training sessions, incorporating digital tools and modern learning technologies
• Collaborate with Training Designers and Developers to update Standard Operating Procedures (SOPs) and course materials using evidence-based and technology-enabled approaches
• Support initiatives that integrate automation, data systems or digital tools to improve training processes and reporting efficiency
• Provide general support to the Leadership and Development team including scheduling, communication and document management
• Participate in continuous improvement initiatives to streamline training delivery and enhance operational performance

Qualifications

• Currently pursuing a post-secondary degree in Business Administration, Human Resources, Data Analytics, Computer Science or Data Science
• Strong organizational and analytical skills, with the ability to analyze, interpret and visualize complex data sets
• Exposure to data science concepts such as statistical analysis, data modelling or machine learning is considered an asset
• Previous experience with Microsoft Excel, Power BI, Learning Management Systems and/or SharePoint is considered an asset
• Understanding of how data analytics and technology can support workforce development, training effectiveness and operational outcomes
• Excellent written and verbal communication skills, with the ability to collaborate across teams
• Comfortable working in both office and field environment at a mine site
• Motivated self-starter, able to work under minimal direction and be able to coordinate several tasks and/or projects simultaneously
• Able to maintain confidentiality and a high level of integrity
• A valid driver’s license and access to a vehicle for the duration of the co-op is required