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Data Analytics Teaching Assistant Jobs in Alberta

Continuous Improvement Technician

Acheson, AB ยท On-site

  • Medical

  • Dental

  • Vision

... * Assist supply chain partners with data analysis and transformations. * Implement focused ... Ability to teach others with tools such as one-point lessons and leading by example. * Intermediate ...

Learner Experience Assistant

Calgary, AB ยท On-site

CA$18.22/hr

The Role * Assist with planning, promotion, setup, and facilitation of School of Business events ... Collect, track, and analyze engagement data and feedback from events, projects and programs.

... stakeholders. * Assist with special projects and initiatives related to learning analytics ... You bring: * 3 years experience in learning analytics, training evaluation, data analysis, research ...

... stakeholders. * Assist with special projects and initiatives related to learning analytics ... You bring: * 3 years experience in learning analytics, training evaluation, data analysis, research ...

Finance Analyst - Construction

Calgary, AB

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Effectively use the right data, reports, and tools for risk analysis and benchmarking. * Assist in client billing and revenue collection. * Collaboration: Interface with project teams and the finance ...

... analysis and troubleshooting/problem solving skills. - Respond to out-of-hours emergency calls ... assist in projects to increase current facility efficiency. - Utilize Microsoft Excel, Word ...

Mental Health Nurse

Red Deer, AB ยท On-site

CA$40.28 - CA$53.03/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Integrate assessment and other data to establish appropriate long and short-term goals and provide ... Provide relevant medication teaching. * Assist with individual or group therapy. * Accurately ...

Showing results 41-60

Data Analytics Teaching Assistant information

What is a data analytics teaching assistant?

Data Analytics Teaching Assistants are professionals who support instructors and students in courses focused on data analytics. They help clarify complex topics such as data cleaning, visualization, and statistical analysis, and often assist with grading assignments, hosting office hours, and providing feedback. Their role is essential in ensuring students understand key concepts and succeed in their studies. Teaching assistants may also guide students in using popular data analytics tools like Excel, Python, or Tableau. Overall, they act as a bridge between the instructor and students, enhancing the learning experience.

What are the key skills and qualifications needed to thrive as a data analytics teaching assistant?

To thrive as a Data Analytics Teaching Assistant, you need a strong foundation in data analysis, statistics, and a relevant degree or equivalent experience. Familiarity with tools like Python, R, SQL, Excel, and platforms such as Tableau or Power BI is typically required, along with knowledge of course management systems. Excellent communication, patience, and the ability to explain complex concepts clearly are crucial soft skills. These competencies ensure effective student support, foster learning, and contribute to successful course delivery.

What are the main challenges a data analytics teaching assistant might face when supporting students in a classroom setting?

As a Data Analytics Teaching Assistant, one of the main challenges is addressing the varying levels of technical proficiency among students. You may need to tailor explanations and provide additional resources for those struggling with complex concepts like data visualization or statistical analysis. Balancing your time between answering individual questions, assisting with group projects, and supporting the lead instructor can also be demanding. Developing strong communication and organizational skills is essential for effectively helping students and ensuring a positive learning environment.

What is the difference between Data Analytics Teaching Assistant vs Data Analyst?

AspectData Analytics Teaching AssistantData Analyst
Required CredentialsOften a bachelor's degree in related field; some roles prefer coursework in data analytics or educationBachelor's or higher in data science, statistics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentEducational settings, assisting instructors, supporting studentsCorporate, finance, healthcare, or tech industries analyzing data for business insights
Employer & Industry UsageUniversities, colleges, online education platformsBusinesses, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding teaching roles in data analytics educationAnalyzing data for decision-making in organizations

The main difference is that a Data Analytics Teaching Assistant supports educational activities and helps students learn data concepts, while a Data Analyst focuses on analyzing data to generate insights for organizations. The roles overlap in required skills and certifications but differ significantly in work environment and primary responsibilities.

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

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

What cities in Alberta are hiring for Data Analytics Teaching Assistant jobs?

Cities in Alberta with the most Data Analytics Teaching Assistant job openings:

Infographic showing various Data Analytics Teaching Assistant job openings in Alberta as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, and 6% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

Driver / Data Collector in Tuscany, Italy

TSMG

Calgary, AB โ€ข On-site

Full-time

Re-posted 10 days ago


Job description

Company description

Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe.ย 

We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.

Project objective

The goal of the project is to help collect images of streets, main points of interest and public areas in the EU countries. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world.

The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas.ย 

The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable.

The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible.
Requirements
  • Must have a valid Driver Licence;
  • Good driving skills and clean driving record;
  • Private monitored parking space for corporate vehicle would be a plus;ย 
  • General car knowledge would be a plus;
  • Enjoys driving, within standard business hours;
  • Available for a minimum of 3 months;
  • Great communication and reporting skills;ย 
  • Tech savvy (drivers will use Gmail, Google Forms, Google Meet and WhatsApp);ย 
  • High level of responsibility;
  • Self-motivated and detail-oriented.ย 
We would be happy to get to know you and your skills better and see how we can support each other's growth.

Please apply and let's meet!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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