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Data Analytics Jobs in Toronto, ON (NOW HIRING)

Prophix

Data & Analytics Engineer

Etobicoke, ON · On-site

Data Engineer) or AWS certifications (Solutions Architect, Data Analytics Specialty)Experience in a PE-backed, high-growth SaaS environment Benefits What Success Looks Like 30 days: You have mapped ...

Cna

Senior Data Analytics Consultant

Toronto, ON

CA$90K - CA$105K/yr

The role partners closely with underwriting, actuarial, and enterprise risk management teams, while contributing to data governance and ongoing analytics and data modernization initiatives. This ...

Novartis

Data, Analytics & Platform Head

Toronto, ON · Hybrid

As Head of Data, Analytics & Platforms, you'll turn global digital strategy into local execution-owning the data backbone, platforms, and AI capabilities that power Commercial, Medical, and Value ...

Walmart

(CAN) Manager, Data Analytics (IC)

Mississauga, ON · On-site

CA$91K - CA$126K/yr

The Manager, Data Analyst supports the Canadian Technology Data Engineering team by delivering hands on analytics, reporting, and insights for priority initiatives. This role focuses on translating ...

Subway

Manager, Marketing Data Analytics

Toronto, ON

CA$90K - CA$113K/yr

The Manager of Marketing Analytics role will leverage data and analytics to drive the transformation of one of the largest QSR brands in the world. Reporting into the Canadian Analytics team, our ...

Teranet

Data Analyst

Toronto, ON

To learn more about who we are, visit our website: www.teranet.ca About the Role The Data & Analytics team within the IT line of business has an ambitious mandate, where we are accountable for ...

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All JobsData Analytics JobsData Analytics Jobs in Toronto, ON

Data Analytics information

See Toronto, ON salary details

$41K

$96.3K

$146K

How much do data analytics jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data analytics in Toronto, ON is $96,281.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,758.00 and $119,769.00 per year, depending on experience, location, and employer.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a Data Analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are popular job titles related to Data Analytics jobs in Toronto, ON? For Data Analytics jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Toronto, ON look for? The top searched job categories for Data Analytics jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Data Analytics jobs? Cities near Toronto, ON with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Toronto, ON as of July 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $96,281 per year, or $46.3 per hour.

Instructor - Data Analytics

Primacorp Ventures, Inc.

Brampton, ON

CA$28/hr

Other

Posted 23 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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