Business Intelligence (BI) Analyst - Human Resources

Job Title:

Business Intelligence (BI) Analyst

Date Posted: February 26, 2025
Closing Date: March 19, 2025 - 4:00PM
Job Number: X-484
Band: 6
Department: Institutional Planning & Analysis
Supervisor Title: Director, Reporting Systems and Analytics
Hiring Range: $75,379 - $100,505 per annum i.e. $2,899.19 - $3,865.57 bi-weekly.
Status: Full-time (35 hours per week), Regular
Location: Hybrid
Salary Range: $75,379 - $83,753 per annum i.e. $2,899.19 - $3,221.27 bi-weekly
Start Date: As soon as possible

The Role:
Are you passionate about data, problem-solving, and innovation? Do you want to make a significant impact through data-driven decision-making? As a Business Intelligence (BI) Analyst, you will be at the forefront of transforming raw data into actionable insights that drive strategic and operational planning at the University. Reporting to the Director of Reporting Systems and Analytics, you will:

Develop dashboards, reports, and data models.
Collaborate with teams across the institution to enhance reporting capabilities and improve data accessibility.
Ensure high-quality data governance.
Design and implement business intelligence solutions.
Troubleshoot data issues and contribute innovative ideas to improve data collection, analysis, and presentation.

This role is perfect for a recent graduate or early-career professional looking to build expertise in business intelligence tools, data visualization, and analytics within a dynamic and supportive environment. You will be encouraged to take initiative, experiment with new approaches, and grow your technical and analytical skills while making a meaningful contribution to the University’s data strategy.

Qualifications We Are Looking For:

A university degree in Computer Science or a related field, or equivalent experience in business intelligence, data analytics, or a related discipline.
Four (4) years of experience with Microsoft reporting infrastructure, including Management Studio (SSMS), Integration Services (SSIS), Reporting Services (SSRS), Analysis Services (SSAS), Power Platform (Power BI), and cloud technologies such as Azure and Fabric.
Proficiency in T-SQL, DAX, Python or R, and experience applying machine learning techniques and tools for data analysis and predictive modeling.
Experience with student information systems in a post-secondary environment (preferably Datatel Colleague) is preferred.

Why Join Us?

Innovative Environment: Be part of a team that values innovation.
Professional Growth: Gain hands-on experience with cutting-edge BI tools and technologies.
Collaborative Culture: Work with diverse teams across the institution.
Impactful Work: Contribute to the University’s data strategy and decision-making processes.
Excellent Benefits: Competitive salary, pension, and comprehensive health benefits.

For more information, please view the full Position Description or visit trentu.ca/employment.

To Apply: Those interested in applying are asked to submit a cover letter, resume and application form (if applicable), by email to jobs@trentu.ca (Microsoft Word or Adobe PDF) no later than the above closing date at 4:00 p.m. Please note your full name and the job title in the subject line of your email (i.e. First and Last Name – Job Title). Applications from external candidates will be considered only when accompanied by a completed Employment Application Form.

Trent University is actively committed to creating a diverse and inclusive campus community and encourages applications from all qualified candidates. Trent University offers accommodation for applicants with disabilities in its recruitment processes. If you require accommodation during the recruitment process or require an accessible version of a document/publication, please contact humanresources@trentu.ca.