Sessional Instructor - Master of Data Analytics, Niagara Falls

Sessional Instructor - Master of Data Analytics Faculty Niagara Falls, ON, CA

Per course rate: $7,200 (paid in installments)

Academic Term: Summer 2026 (July 6 - September 20)

Mode of Delivery: This is a hybrid role. Sessional instructors are required to teach on-site for a minimum of 2 days per week, though this will depend on their teaching schedule.

Key Responsibilities

Lecturing&Teaching:

Deliver engaging lectures and instructional content across multiple delivery modes (in-person, online, or hybrid) to create an inclusive, dynamic learning environment.

Course Materials:

Prepare, update, and maintain course materials, including assignments, quizzes, and exams. Ensure materials are accessible and relevant to students’ learning.

Student Engagement:

Offer regular office hours to meet with students, address inquiries, and provide academic support.

Assessment&Grading:

Design and grade assignments, tests, and exams in a timely and consistent manner. Provide meaningful feedback to students on their progress.

Curriculum Development:

Collaborate on curriculum development to ensure course content is aligned with industry standards and trends.

Technology Integration:

Use internal software to manage grades, track progress, and update students on course material.

Qualifications

PhD in Data Analytics, Computer Science, Information Systems, or a related field.

Demonstrated hands‑on experience with Power BI, Tableau, and DAX.

Strong understanding of data visualization principles and data storytelling.

Proficiency in databases, including SQL, data modeling, and ETL processes.

Prior teaching experience at the post‑secondary level is considered an asset.

Industry experience in data analytics or business intelligence is preferred.

Core Competencies

Student‑Centric Approach:

Ability to create an inclusive learning environment that promotes student success and engagement.

Technical Expertise:

Experience working with large datasets and cloud platforms (e.g., Azure, AWS) with proficiency in Python or R for data analysis.

Effective Communication:

Excellent presentation skills with the ability to explain complex topics in an accessible way to students from diverse backgrounds.

Problem Solving:

Creative problem‑solving abilities, especially in integrating real‑life case studies and practical examples into the curriculum.

Professionalism:

Strong interpersonal skills, diplomacy, and discretion in dealing with colleagues and students.

Time Management:

Ability to prioritize tasks and manage multiple responsibilities in a high‑pressure environment.

All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.

We will accommodate the needs of the applicants and the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA) throughout all stages of the selection process.

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