Analytics Engineer, Fall 2024 (Co-op/Internship) - 4 Months

at  Quadreal

ABOUT QUADREAL PROPERTY GROUP

QuadReal Property Group is a global real estate investment, operating and development company headquartered in Vancouver, British Columbia. Its assets under management total $73.8 billion. From its foundation in Canada as a full-service real estate operating company, QuadReal has expanded its capabilities to invest in equity and debt in both the public and private markets. QuadReal invests directly, via programmatic partnerships and through operating companies in which it holds an ownership interest.
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.

Based in Toronto, the Co-op/Intern, Analytics Engineer will report to the Senior Analytic and Data Engineers and support our growing Enterprise Data & Analytics (ED&A) team at QuadReal. They will be involved with innovative pilots, doing first-of-its-kind projects with the business, including geo-space analytics, natural language processing, and revenue yield processing, all while using the best tools and data platforms. They will also gain experience in collaboration in implementing data pipelines to fulfill business requirements using Enterprise Data Platform (EDP). They will primarily be working with advanced analytics but will have the opportunity to gain broader learning within Data Analytics. The ideal candidate is tenacious, collaborative, and has a solution-oriented mindset.

WHAT YOU’LL EXPERIENCE:

• Work closely with the Analytic and Data Engineering team to internal stakeholders for support and development of data solutions.
• Apply analytics techniques (e.g., optimization, machine learning, experimentation, mathematical modeling) using analytical tools and programming languages (e.g., Python).
• Build a Data Platform and services with the latest Cloud technologies (Azure, Shakudo).
• Build end-to-end Data Pipelines supporting data ingestion, data transformations, and delivery.
• Develop Data and analytics Engineering skills with hands-on development opportunities on Modern Data Stack (DBT, Prefect, SQL, Python etc..).
• Collaborate closely with Analytics/Data Engineers to untangle both structured and unstructured data, contributing to the development of core analytic frameworks that drive business impact.

DON’T HAVE ALL OF THE ABOVE SKILLS? DON’T WORRY. WE STILL WANT TO HEAR FROM YOU!

QuadReal Property Group will provide reasonable accommodation at any time throughout the hiring process for applicants with disabilities or for those needing job postings in an alternate format. If you require accommodation, please advise the Talent Acquisition team member you are working with and include the following: Job posting #, your name and your preferred method of contact.
Want to learn about our end-to-end recruitment process? Click this link for a short video that will take you through each step, so you’ll know exactly what to expect

Please refer the Job description for details