Analytics Engineering, Fall 2026 - Toronto (Co-op/Internship) - 4 Months

QuadReal Property Group • Toronto, ON

1d • Onsite

About The Position

Based in Toronto, the Co-op/Intern, Analytics Engineering will report to the Analytics Engineer and support our growing Enterprise Data & Analytics (ED&A) team at QuadReal. The successful candidate will be responsible for supporting and implementing end to end data pipelines, developing data models, ensuring data quality and creating visualizations to support real estate investments decisions, often using Microsoft Fabric, SQL, Python, dbt, and Power BI.

QuadReal Property Group is a global real estate investment, development and operating company headquartered in Vancouver, British Columbia. Its assets under management are $98.5 billion. From its foundation in Canada as a full-service real estate operating company, QuadReal has expanded its capabilities globally for investments in equity and debt in both the public and private markets. QuadReal invests directly through operating platforms in which it holds an ownership interest and via programmatic partnerships.
QuadReal seeks to deliver strong investment returns while creating sustainable environments that bring value to the people and communities it serves. Now and for generations to come.
QuadReal: Excellence lives here.
www.quadreal.com
We are committed to providing our Co-ops/Interns with a student experience that provides a supportive and engaging learning environment while developing skills and business acumen. Students will have the opportunity to participate in a variety of experiences including our Corporate Speaker Series, Fireside Chats, Volunteer opportunities and Networking events.
Eligibility Note: To qualify for a student (Co-op/Internship) opportunity, students must be enrolled in their academic studies at a post-secondary institution (university/college) and must be returning to school after completion of their work term with QuadReal. If you are a student registered in an official co-op program at your post-secondary institution and completion of a final work term is a mandatory component for you to graduate, you are eligible to apply with the understanding that you will leave QuadReal at the end of your work term or have the possibility to be considered for full-time opportunities.

Requirements

• Currently enrolled in an academic program preferably in Data Analytics, Engineering, Business, Science, Technology, or Mathematics.
• Strong quantitative and analytical skills; detail-oriented and proficient in building and handling complicated data sets.
• Advanced knowledge of SQL, Python, Power BI.
• The ability to problem-solve while working in a fast-paced environment.
• Excellent communication and presentation skills; demonstrate an ability to effectively communicate and present results that articulate key themes and messages.

Nice To Haves

• Familiarity with Cloud technology (Azure/AWS or GCP) and CI/CD is considered an asset.

Responsibilities

• Work closely with the Analytics and Data Engineering team to internal stakeholders for support and development of data solutions.
• Build a Data Platform and services with the latest Cloud technologies (Azure, Microsoft Fabric, Shakudo).
• Build & maintain data orchestration supporting data ingestion, data transformations, and data models ready to be delivered to the BI team.
• Help develop reusable data assets, transformation logic, and standardized metric definitions that drive analytics consistency and business impact across the organization.
• Define and govern data models and design standards, tools, best practices, and related development for enterprise data models.
• Create and maintain comprehensive documentation that outlines data orchestration best practices, and preparation steps required for BI semantic modeling.
• Develop Data and analytics Engineering skills with hands-on development opportunities on Modern Data Stack like DBT, Prefect, SQL, Python etc.

Benefits

• An organization and leaders that support your development through meaningful work experience
• A Student Mentorship Program designed to provide support throughout your experience
• Opportunities to build your industry knowledge through weekly Speaker Series & Fireside Chats
• Opportunities to participate in case competitions within QuadReal during your work term, fostering cross-functional collaboration with intern peers and enhancing exposure to real-world problem-solving.
• Giving back to the community with your peers and team members through volunteering events
• Opportunities to build long-lasting industry and professional relationships

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed