Sessional Instructor - Master of Data Analytics

Seasonal Instructor – Master of Data Analytics (MDA) – Fall 2026 (September 26 – December 13). The University of Niagara Falls Canada invites applications to teach hybrid sessions, on‑site minimum 2 days per week.

• Per course rate: $7,200 (paid in installments)
• Academic term:
  Fall 2026 (September 26 – December 13)
• Mode of delivery:
  Hybrid – required on‑site teaching minimum two days per week

• Deliver engaging lectures and instructional content across in‑person, online, or hybrid modalities to create an inclusive, dynamic learning environment.
• Prepare, update, and maintain course materials, including assignments, quizzes, and exams, ensuring accessibility and relevance.
• Offer regular office hours to meet with students, address inquiries, and provide academic support.
• Design, grade, and provide feedback on assignments, tests, and exams in a timely and consistent manner.
• Collaborate on curriculum development to align content with industry standards and trends.
• Use internal software to manage grades, track progress, and update students on course material.

• PhD in Data Analytics, Computer Science, Information Systems, or a related field.
• 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 post‑secondary teaching experience considered an asset.
• Industry experience in data analytics or business intelligence preferred.

• Student‑centric approach: create an inclusive learning environment.
• Technical expertise: large datasets, cloud platforms (Azure, AWS), Python or R.
• Effective communication: excellent presentation skills, explain complex topics accessibly.
• Problem solving: integrate real‑life case studies and practical examples.
• Professionalism: strong interpersonal skills, diplomacy, and discretion.
• Time management: prioritize tasks and manage multiple responsibilities.

Submit a single PDF document that includes a cover letter, resume/CV, evidence of teaching experience and scholarly accomplishments, teaching portfolio (if applicable), and the names of three references. File size limit 5 MB.

UNF is strongly committed to equity, diversity, and inclusivity and invites applications from all qualified candidates, including racialised persons, women, Indigenous people, persons with disabilities, 2

SLGBTQI+ persons, and others. Canadian citizens and permanent residents are prioritized. All accommodations required by the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act will be accommodated.