Data Analytics Instructor
Description
ABOUT TREBAS
The Trebas Institute, located in downtown Toronto, is a dynamic creative hub dedicated to creating media artists who will work both locally and internationally as creative professionals in the
Business, Technology and Entertainment industries. We offer various programs including a concentrated one-year diploma programs. Classes are project-focused on a hands-on environment and are designed to guide students towards achieving deep technical knowledge while exploring and building their own creative, artistic voice.
We are currently seeking a Data Analytics instructor to join our team. Our instructors are passionate and self-motivated individuals, driven by the desire for success for our students and the industry as a whole.
JOB DUTIES
- Delivering lectures and workshops to students in our Data Analytics program, including: Preparation and execution of lesson plans and exercises
- Providing feedback and constructive criticism of student work
- Accurate and timely recording of attendance and grades
- Advising and advancing our project-based educational model
- Adapt to an existing curriculum to help deliver high-quality lesson plans and maintain a unified curriculum
- Aiding the employability, achievement, and welfare of a diverse student population throughout the program
QUALIFICATIONS
- Degree in Data Analytics or BSC Degree or Masters in one or more of the
Following: Engineering, Statistics, Mathematics, Data Science, Operational Research, Management Science or Computer Science
- 3+ years working industry experience
- Two years of teaching experience at the college level
- Teaching and guiding students in “real world” big data analytics class projects
- Ability to identify points of improvement in a curriculum
- Good leadership and problem-solving skills
- Exceptional communication abilities with the ability to clearly explain complicated subject matter
- Ability to foster a collaborative, cooperative environment among students & faculty
- Ability and willingness to adapt to changing technologies & educational practices
- Ability to be aware of and manage individual student needs
- Ability to use Learning Management System platforms (Canvas) an important asset.
- This work environment is hybrid.
DATA ANALYTICS KNOWLEDGE
- Big Data Tools
- Data Technology Solutions
- Big Data Fundamentals
- Python Programming
- Basic understanding of Big Data Technologies using one or more of the following: Spark, Hadoop, Tableau, R,MapReduce, Python, JavaScript, Java, HBASE, HIVE and NoSQL.
- Basic understanding of continuous improvement using one or more of the following: Six-Sigma, Lean, Agile, TDQM,Demming, and Kanban.
- Introduction to Artificial Intelligence
- Data Encoding Principles and Methods
WHAT YOU CAN EXPECT FROM US
- A committed leadership team who truly cares about each member of their team’s growth and professional development
- Continuous support delivered to ensure quality and effectiveness within the role
- Flexible work schedule that allows for personal and/or outside projects
- Competitive compensation