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Part Time Data Analytics Engineer Jobs in Toronto, ON

LEA Group

Traffic Surveyor (Part-Time)

Markham, ON · On-site

$21/hr

LEA is an employee-owned engineering consulting firm with a 72year history. We provide ... data collection projects involving the collection, compilation, analysis, and quality review of ...

Maple Leaf Foods

Reliability Engineer

Hamilton, ON · On-site

CA$71K - CA$103K/yr

For part-time roles, salaries are adjusted according to scheduled hours.??In addition to base ... Oversee the breakdown management system, including troubleshooting, reporting and analysis, and ...

Bantrel Co.

Senior Mechanical Engineer, LNG

Toronto, ON · On-site +1

... data sheets and will lead LNG Tank design and evaluation. Join us in this part-time flexible ... Familiar with all engineering department procedures and their application to projects; * Knowledge ...

New

Maple Leaf Foods

Project Engineer

Hamilton, ON · On-site

CA$71K - CA$103K/yr

For part-time roles, salaries are adjusted according to scheduled hours.??In addition to base ... Strong organizational, analytical and planning abilities combined with practical business sense.

Wawanesa Insurance

Senior Financial Analyst

Toronto, ON · Hybrid

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... This role is ideal for a CPA-designated professional with a passion for data-driven decision-making ...

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All JobsData Analytics Engineer JobsPart Time Data Analytics Engineer JobsPart Time Data Analytics Engineer Jobs in Toronto, ON

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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

Data Warehouse Backend Developer and Power BI Support

Toronto, ON

THREE POINT TURN INC
See more jobs at THREE POINT TURN INCexternal

CA$85/hr

Part-time

Re-posted 13 days ago

Job description

- Must be physically located in Canada
- This is a contract position with flexible hours
We’re looking for a hands-on backend developer to help close out open tickets across the data warehouse and Power BI environment. This role is focused on backend problem-solving, data logic, ETL-style workflows, and root-cause resolution. The ideal candidate will be highly resourceful, work well with autonomy, and move quickly from issue to an acceptable resolution.
What they’ll do
- Triage and resolve open support tickets
- Work across the data warehouse, Power BI, SSRS, and related reporting tools
- Debug SQL, backend logic, data mismatches, and dashboard/report defects
- Investigate source-to-report issues and trace problems back through the data layer
- Implement backend fixes and validate outcomes before closing tickets
- Help stabilize and clean up existing reporting workflows
- Support both break/fix work and smaller enhancement requests
- Coordinate with stakeholders as needed to keep work moving
What we’re looking for
- Strong backend development skills
- Excellent troubleshooting and root-cause analysis skills
- Strong SQL and data troubleshooting skills
- Experience with data warehouse work and ETL-style logic
- Experience with Power BI and reporting tools
- Comfortable debugging data pipelines, joins, mappings, and business logic
- Able to operate independently with minimal oversight
- Resourceful, fast-moving, and able to find workable solutions without heavy handholding
Ideal profile
- Practical backend problem-solver who can move between systems and source layers
- Comfortable with ambiguity and changing priorities
- Strong at tracing report issues back to backend logic and fixing root cause
- Can make good judgment calls and keep work moving without constant direction
Success in this role looks like
- Tickets are resolved quickly and with acceptable outcomes
- The person can work independently and keep momentum without close supervision
- Backend logic and reporting outputs are more reliable
- Problems are solved at the source instead of patched around
- The team has a dependable technical partner who can drive issues to resolution