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Part Time Data & Analytics Jobs in Toronto, ON (NOW HIRING)

Architech

Part Time - Data Architect

Toronto, ON · On-site

Design secure, scalable platforms across Fabric, Azure and Databricks that make data ready for analytics and AI. Join Us in Building the Future At Architech, we don't just ship software. We partner ...

Fulfillment IQ

Supply Chain Data Analyst

Toronto, ON · On-site

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 ...

BrightPath Kids Canada

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 ...

City of Toronto

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 ...

Wawanesa Insurance

Senior Architect - Data & AI

Toronto, ON · Hybrid

CA$115K - CA$160K/yr

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... Design and optimize cloud analytics solutions including data lakes, MLOps pipelines, automation ...

Dexterra Group

Sustainability Analyst

Mississauga, ON

... part-time opportunities at any given time. We aim to provide our people with more than just a job ... Analyze and interpret sustainability data related to greenhouse gas emissions, energy, waste, and ...

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Part Time Data Analytics information

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$34

$77

How much do part time data & analytics jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for part time data & analytics in Toronto, ON is $34.16, according to ZipRecruiter salary data. Most workers in this role earn between $14.22 and $51.16 per hour, depending on experience, location, and employer.

What is a part time data & analytics professional?

Part-time data & analytics jobs involve working with data to gather insights, create reports, and support decision-making, but on a reduced or flexible work schedule. These roles may include tasks like data cleaning, analyzing trends, creating dashboards, and presenting findings to stakeholders. Part-time positions are ideal for students, professionals seeking flexible hours, or those balancing other commitments. Employers often look for candidates with skills in Excel, SQL, or data visualization tools. These jobs can be found in many industries, including marketing, healthcare, finance, and technology.

What skills and qualifications are needed to thrive as a part time data & analytics professional?

To thrive as a Part Time Data & Analytics professional, you typically need a background in statistics, mathematics, or computer science, along with experience in data analysis and interpretation. Familiarity with tools like Excel, SQL, Python, or Tableau is commonly required, and certifications in data analytics or related fields can be advantageous. Strong attention to detail, critical thinking, and effective communication skills help individuals excel in this role. These skills and qualities are crucial for delivering actionable insights that drive informed decision-making and business success.

How does a part time data & analytics professional typically collaborate with full time team members to ensure project continuity?

Part-time Data & Analytics professionals often coordinate closely with full-time team members through regular check-ins, shared documentation, and project management tools to maintain seamless workflow. They may attend key meetings, provide updates on their progress, and clarify priorities to ensure that their contributions align with ongoing projects. Effective communication and proactive scheduling are essential to bridge any gaps due to limited hours, allowing part-time analysts to stay informed and integrated with the team's objectives.

Can data analysts work part-time?

Data analysts can work part-time, depending on employer needs and project requirements. Many organizations offer flexible schedules, and part-time roles often involve skills in data visualization, SQL, and Excel. Such positions may require specific certifications or experience but are common in the industry.

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

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

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

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

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

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

What cities near Toronto, ON are hiring for Part Time Data & Analytics jobs?

Cities near Toronto, ON with the most Part Time Data & Analytics job openings:

Part Time Data Analytics jobs near you
Infographic showing various Part Time Data & Analytics job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $71,055 per year, or $34.2 per hour.

Instructor - Data Analytics

Primacorp Ventures, Inc.

Brampton, ON • On-site

CA$28/hr

Part-time

Re-posted 14 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.

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