Business Intelligence Specialist - Faculty of Engineering

Job ID 79670 Job Title Business Intelligence Specialist - Faculty of Engineering Regular/Temporary Regular Location Central Campus Open Date 2026/11/12 Job Type Continuing Close Date 2026/11/25 Employee Group Unifor Unit 1, Staff Favorite Job Department Associate Dean Academic Full/Part Time Full-Time Salary Grade/Band Grade 9 Salary Range $34.99 - $49.20 (hourly) Job Code JD1721 Existing Vacancy Yes - Newly Created Position Target Number of Openings 1 Hours per Week 35 Posting Details **Schedule** 35 hours per week; Monday - Friday; 8:30 am - 4:30 pm **Education Level** Bachelors Degree in Statistics, Data Science, Business Analytics, Computer Science, Engineering or a related field of study. **Career Level** Requires 3 years of relevant experience. **JD** JD1721 **Anticipated Start Date** January 2027 Job Description **Business Intelligence Specialist, Faculty of Engineering** **About the Faculty** McMaster University's Faculty of Engineering is a collaborative and ambitious community advancing transformative education, research excellence and innovation with impact. Recognized as one of Canada's most research-intensive engineering faculties, we attract approximately $65 million in annual research funding, with strengths spanning bio-innovation, advanced materials and manufacturing, mobility, artificial intelligence and nuclear engineering. We are equally committed to delivering an unparalleled learner experience, connecting experiential learning with real-world challenges and preparing students to lead with purpose. Through interdisciplinary collaboration and strong partnerships with industry, government and communities, our faculty, staff and students work together to address complex challenges and shape a better future. We foster an inclusive environment where people, ideas and expertise are valued, professional growth is encouraged, and everyone has opportunities to contribute to meaningful change. **About the Position** This role is part of the Office of the Associate Dean (Undergraduate) on the Office of Learning, Innovation, and Analytics team. Responsible for leading the design, implementation, analysis, and interpretation of complex institutional data systems to support evidence-informed decision-making across the Faculty. Applies advanced statistical, analytical, business intelligence, assessment, and evaluation methodologies to support strategic planning, academic quality assurance, student success initiatives, accreditation activities, and organizational effectiveness. Develops and maintains enterprise reporting solutions, dashboards, performance metrics, surveys, and evaluation frameworks. Analyzes and translates complex quantitative and qualitative findings into clear insights to support operational planning and decision-making. **Purpose and Key Functions** ----------------------------- * Oversee the design, implementation and maintenance of data