Qualifications GA applicants are evaluated based on the qualifications and criteria stated below: Enrolled in a Masters or Ph.D. program (Preference to Doctoral, then Masters) Minimum overall standing: B+ (or equivalent).

Proficiency with relational databases (RDBMS); familiarity with NoSQL and JSON data modeling/querying; exposure to object databases (ODB) is an asset.

Practical skills in data visualization using Power BI or equivalent tools.

Evidence of applied projects focused on RDBMS, ODB, NoSQL, JSON, and Python with a database (e.g., building schemas, writing queries, integrating Python with a DB, ETL/analysis pipelines).

Hands-on experience with Microsoft Azure virtual machines or labs.

Previous performance evaluation as a Teaching/Graduate Assistant at a University, if applicable.

Applicants not registered as TMU students will be considered if no qualified TMU student is available.

Attendance : GA must attend all lab sessions held by the designated instructor and be fully prepared.

Salary & Compensation September 1, 2024 to August 31, 2025 Master - $49.93 per hour PhD - $53.91 per hour September 1, 2025 to August 31,



2026 Master - $51.17 per hour PhD - $55.26 per hour Conferring with SUP Instructor Coordination - 2 Hours: Plan, prepare, and meet with the instructor (lab prep, grading rubrics, alignment with course outcomes) Superv/Monitoring labs/Demos Lab Support - 18 Hours: Attend 12 lab sessions and actively demonstrate tools, participate in student discussions, and support technical procedures, lab tutorials, and live-session activities.

Marking assignments/lab report Grading - 18 Hours: Grade assignments in terms of the course rubric; assess process and findings; provide feedback on all rubric criteria and return marks within the timeframe specified by course policy.

Other Duties Discussion Board - 5 Hours: Monitor and participate in the online course shell; address student concerns and questions thoroughly, and provide complete, timely replies in line with course policy.

Review Sessions - 2 Hours: Conduct one 2-hour or two 1-hour review sessions (for mid-term and/or final).

Number of Registered Students Enter # of Students

📌 Academic Assistant Cdata Org For Data Analysts Sat Sep 12 Dec 19 6:30 9:30 Toronto
🏢 Toronto Metropolitan University
📍 Toronto