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Part Time Data Analytics Engineer Jobs in Toronto, ON

You will collaborate with engineering and business peers to design data environments that enable analytics, automation, and AI-driven insight. Key Responsibilities * Architect Microsoft Fabric ...

Hybrid, Toronto based Employment Type (Permanent/Contract/Part -time/Intern): Permanent, Full-Time ... Role Overview You will drive the data analytics capabilities of Workbench, FIQ's warehouse design ...

Associate, Data Engineer

Toronto, ON · On-site

CA$90K - CA$120K/yr

We leverage the latest data engineering and analytics technologies to solve complex business ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Associate, Data Scientist

Toronto, ON · On-site

CA$90K - CA$120K/yr

... analysis, and machine learning frameworks. Strong programming skills (Python preferred) and ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Support data engineering execution across complex application development initiatives, ensuring ... Comfortable modeling data across relational and document-based systems, analyzing schemas, and ...

New

Business Analyst

Toronto, ON · Hybrid

CA$85K - CA$105K/yr

Bachelor's degree in Business Analytics, Finance, Data Analytics, Business Administration ... We offer a 40% child care discount to ALL Full-time employees & 10% to Part-time employees so that ...

HEALTH INFORMATION ANALYST

Toronto, ON · Hybrid

CA$42.68 - CA$46.31/hr

Retrieves, organizes, analyzes, interprets and reports data using appropriate methods to support ... NOTE TO INTERNAL FULL-TIME AND PART-TIME CITY OF TORONTO EMPLOYEES: City of Toronto employees must ...

Candidates from other disciplines such as Business Analytics, Economics, Statistics, Engineering ... Strong attention to detail and a strong commitment to data accuracy. * Excellent written and verbal ...

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Part Time Data Analytics Engineer information

What does a part time data analytics engineer do?

A Part Time Data Analytics Engineer is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They build and manage data pipelines, use programming languages like Python or SQL, and create dashboards or reports to visualize data trends. Working part time, they may focus on specific projects or support ongoing analytics needs, often collaborating with other team members to ensure data quality and actionable insights.

What are the key skills and qualifications needed to thrive as a part time data analytics engineer?

To thrive as a Part Time Data Analytics Engineer, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI is essential, with certifications in these tools considered advantageous. Excellent problem-solving abilities, attention to detail, and effective communication skills are important soft skills for this role. These skills ensure accurate data analysis, actionable insights, and efficient collaboration, which are critical for delivering value in a part-time capacity.

How does working as a part time data analytics engineer differ from a full time position in terms of team collaboration and project ownership?

As a part-time Data Analytics Engineer, you'll often collaborate closely with full-time team members, focusing on specific tasks or projects that align with your available hours. You may be assigned to support data pipeline development, create dashboards, or perform data cleaning, but typically with a narrower project scope compared to full-time engineers. Communication and documentation are especially important, as you'll need to ensure smooth handoffs and updates for work that continues outside your scheduled hours. This structure provides flexibility but also requires proactive coordination to stay aligned with team goals and deadlines.

What are the most commonly searched types of Data Analytics Engineer jobs in Toronto, ON?

The most popular types of Data Analytics Engineer jobs in Toronto, ON are:

What are popular job titles related to Part Time Data Analytics Engineer jobs in Toronto, ON?

For Part Time Data Analytics Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Part Time Data Analytics Engineer jobs in Toronto, ON look for?

The top searched job categories for Part Time Data Analytics Engineer jobs in Toronto, ON are:

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

CA$28/hr

Part-time

Re-posted 17 days ago


Job description

About us

CDI College is Canada's largest private college network with over 50 years of educational excellence with 23 campuses in British Columbia, Alberta, Ontario, Quebec and Manitoba. Our innovation and dynamism shine through a range of forward-thinking programs. We are a leading Canadian career training institution, dedicated to quality education and student success. Established in 1970, we offer over 50 diploma and certifications programs across various disciplines such as business, healthcare, technology, and art and design.

Job Status: Part-time, Remote (Weekend Availability Required)
Start Date: ASAP
Working Hours: Ongoing, Part-time
Compensation: $28/hour
Campus: CDI College - Brampton

Position Summary
The Data Analytics Instructor is responsible for delivering high-quality instruction and supporting student success in alignment with the program curriculum. This role focuses on engaging teaching, practical application of data analytics concepts, and fostering an inclusive learning environment.

Key Responsibilities

  • Deliver lectures, workshops, and hands-on training for the Data Analytics program.
  • Develop and implement lesson plans aligned with curriculum objectives.
  • Provide timely feedback on assignments and projects to support student progress.
  • Maintain accurate records of attendance and academic performance.
  • Contribute to curriculum enhancement and continuous improvement initiatives.
  • Collaborate with faculty to ensure consistent and high-quality program delivery.
  • Support student achievement, employability, and overall well-being.

Qualifications

Education & Experience

  • Degree in Data Analytics, Data Science, Computer Science, Mathematics, Statistics, or a related field.
  • Minimum 2 years of industry experience in data analytics or a related field.
  • Minimum 2 years of teaching experience at the post-secondary level (preferred).

Skills & Competencies

  • Strong ability to teach and apply data analytics concepts through real-world projects.
  • Excellent communication and presentation skills.
  • Effective problem-solving and organizational abilities.
  • Collaborative approach with a focus on student engagement and success.
  • Familiarity with Learning Management Systems (LMS).

Technical Knowledge

  • Proficiency in Python and data analysis libraries.
  • Working knowledge of big data tools and technologies (e.g., Spark, Hadoop, Tableau, R, NoSQL).
  • Understanding of data analytics fundamentals and methodologies (e.g., Agile, Lean).
  • Basic knowledge of artificial intelligence concepts.

Don't hold back!-apply today, even if you do not tick every skills list. We cherish diverse skill sets, knowing your unique experiences and perspectives enrich our dynamic team.
We are proudly Canadian - rooted in our diverse communities, guided by our values, and committed to growing together from coast to coast.