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Data Analytics Project Manager Jobs in Toronto, ON

... data and integration projects, including a flagship AI initiative. This role is ideal for a ... Facilitate workshops to extract, analyze, and translate ambiguous business needs into clear ...

Other ad hoc data analysis as required. May perform additional duties as assigned. Reporting ... Solid project management, organization and planning skills with the ability to manage multiple ...

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Data Analytics Project Manager information

See Toronto, ON salary details

$67.8K

$113K

$167.5K

How much do data analytics project manager jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data analytics project manager in Toronto, ON is $112,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,844.00 and $140,287.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Analytics Project Manager position, and why are they important?

To excel as a Data Analytics Project Manager, you need a solid background in data analysis, project management methodologies (such as Agile or Waterfall), and a relevant degree in data science, statistics, or a related field. Familiarity with tools like SQL, Python, Tableau, and project management software (such as Jira or Asana), along with certifications like PMP or Certified Analytics Professional, is highly valued. Strong leadership, communication, and problem-solving skills help you effectively coordinate teams and manage stakeholder expectations. These abilities are crucial for driving data projects to completion, ensuring analytical insights align with business goals, and adapting to evolving project requirements.

What is a Data Analytics Project Manager job?

A Data Analytics Project Manager oversees data-driven projects, ensuring they align with business goals and are completed on time and within budget. They collaborate with data analysts, engineers, and stakeholders to define project requirements, manage resources, and monitor progress. Their role involves coordinating data collection, analysis, and visualization to support strategic decision-making. Strong project management, communication, and analytical skills are essential for success in this role.

What are the typical responsibilities of a Data Analytics Project Manager on a daily basis?

A Data Analytics Project Manager is responsible for overseeing the end-to-end lifecycle of analytics projects, including defining project scope, setting timelines, and managing resources. On a daily basis, you may coordinate with data analysts, data engineers, and business stakeholders to ensure requirements are clear and progress is on track. You will likely review deliverables, address roadblocks, and adjust plans as needed while ensuring that the team is aligned with business objectives. Regular communication and reporting to upper management or clients is also a key part of the role.

What are popular job titles related to Data Analytics Project Manager jobs in Toronto, ON? For Data Analytics Project Manager jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Data Analytics Project Manager jobs in Toronto, ON look for? The top searched job categories for Data Analytics Project Manager jobs in Toronto, ON are:
Infographic showing various Data Analytics Project Manager job openings in Toronto, ON as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 80% Physical, 8% Hybrid, and 12% Remote job distribution, with an average salary of $112,970 per year, or $54.3 per hour.

CA$28/hr

Other

Posted 18 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.