1

Data Analytics Teaching Jobs in Alberta (NOW HIRING)

Ability to teach others with tools such as one-point lessons and leading by example. * Intermediate MS Excel skills required, including interpretation, organization, and analysis of data. * Strong ...

Director of Academics

Calgary, AB · On-site

CA$65K - CA$70K/yr

Guiding teachers in the effective use of instructional and support materials for full ... Using multiple sources of data collection to analyze barriers to student achievement and to access ...

Director of Academics

Calgary, AB · On-site

CA$65K - CA$70K/yr

Guiding teachers in the effective use of instructional and support materials for full ... Using multiple sources of data collection to analyze barriers to student achievement and to access ...

Analyze student achievement data to guide instructional planning and school improvement initiatives ... Valid Alberta Teaching Certificate (required). * Alberta Leadership Quality Standard (LQS ...

next page

Showing results 1-20

Data Analytics Teaching information

What is data analytics teaching?

A Data Analytics Teaching job involves educating students or professionals on data analysis concepts, tools, and techniques. Instructors teach subjects like data visualization, statistical analysis, SQL, Python, and machine learning. They may work in universities, online platforms, or corporate training programs. Responsibilities include developing curriculum, designing hands-on exercises, and mentoring learners. Effective teaching requires both technical expertise and the ability to explain complex concepts clearly.

What are the key skills and qualifications needed to thrive in data analytics teaching?

To excel in Data Analytics Teaching, a solid background in data analysis, statistics, and instructional design—usually supported by an advanced degree in a quantitative field—is essential. Familiarity with tools such as Python, R, SQL, Tableau, and relevant certifications like Microsoft Certified: Data Analyst Associate or Certified Analytics Professional is common. Outstanding communication, patience, and the ability to simplify complex concepts are important soft skills for effectively engaging learners. These skills ensure instructors can deliver practical, accessible learning experiences that prepare students for real-world data roles.

What are some typical challenges faced by professionals teaching data analytics, and how can they be addressed?

Professionals teaching data analytics often encounter challenges such as varying levels of student proficiency, rapidly changing industry tools, and the need to illustrate real-world applications. To address these, instructors may develop adaptable teaching materials, incorporate hands-on projects, and stay current with industry developments through ongoing education or professional networks. Collaborating with industry partners for guest lectures and case studies can also help keep course content relevant and engaging. Being flexible and using a variety of teaching methods can ensure all students, regardless of background, are able to grasp key concepts.

What are the most commonly searched types of Data Analytics Teaching jobs in Alberta?

The most popular types of Data Analytics Teaching jobs in Alberta are:

What are popular job titles related to Data Analytics Teaching jobs in Alberta?

For Data Analytics Teaching jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Data Analytics Teaching jobs in Alberta look for?

The top searched job categories for Data Analytics Teaching jobs in Alberta are:

Infographic showing various Data Analytics Teaching job openings in Alberta as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Research Assistant, Seeing Themselves in the Mathematics

Mount Royal University

Calgary, AB • On-site

CA$21.87 - CA$27.61/hr

Full-time

Posted 8 days ago


Job description

About the Project A Research Assistant is sought to support a HCE funded research project titled: Seeing Themselves in the Mathematics: Reconceptualizing Teacher Identity and Self-Efficacy Through Games and Narrative led by Dr. Sarah Hamilton. This study addresses the critical challenge of creating spaces for all learners to see themselves in the mathematics they learn and do.

In particular, it examines the fragile relationship of many pre-service teachers (PSTs) with mathematics. The study investigates how two specific pedagogical interventions, low-floor, high-ceiling mathematical games and reflective free-writing, enable support PSTs to reconceptualize their identities as mathematics learners and educators and carry this work forward in early career teaching practices. About the Role The Research Assistant (RA2) position will include assisting the PI with basic literature reviews, recruitment of participants, scheduling and facilitating focus groups, and other research administrative tasks.

Furthermore, the Research Assistant position will include data collection and analysis, trend monitoring, and the potential for collaborative preparation of reports and presentations with the PI. The Research Assistant will work both independently and collaboratively, with frequent team meetings and work reviewed by the Principal Investigator. This is a flexible Research Assistant position until December 31, 2027, with varied hours depending on the phase of the research.

The RA will work up to a maximum of 200 hours total for the project, with no more than 35 hours on a given week. Responsibilities Training for Ethics (TCPS2), data collection and thematic data analysis Administrative research tasks Recruitment of participants Collection and storage of consent forms Participant outreach and scheduling of focus groups Data collection and research protocols Facilitation of focus groups Administration of consent forms Note-taking and reflections Data preparation and anonymization Post-grade appeal, meticulously scrub and anonymize data to the highest degree possible before releasing them to the PI for analysis Data Analysis Assist the PI in qualitative data analysis, identifying thematic patterns across the data. Collaborative preparation and participation in dissemination of research findings with PI (If desired) Qualifications Enrollment in an undergraduate degree program at MRU is preferred Successfully completed a Research Methods course that includes qualitative research methods Technical skills related to the use of Google workspace; Otter.ai or other transcription tool; and digital tools to manage data (including password protected drives/folders) Can obtain police check (including vulnerable sector) in case of school visits if necessary High ethical standards and adherence to Research Ethics, including guidelines in TCPS2 and those outlined in the MRU Human Research Ethics Board certificate for this study Strong attention to detail, ability to work independently, and strong communication skills Salary Rate: $21.87 - $27.61 per hour Closing Date: August 30, 2026 A letter of interest should be submitted in one .pdf formatted document

Please title your .pdf document as follows: [Last Name], [Document], [Requisition Number].pdf (ex. Smith, Letter of Interest, 1234.pdf).