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Data Analytics Graduate Jobs in Ontario (NOW HIRING)

Manulife

GRO - Data Analyst

Toronto, ON · Hybrid

As a Data Office New Graduate, you will help design and deliver data, automation, and AI-enabled ... Develop scalable data pipelines and architectures to power analytics and AI use cases * Translate ...

Td

AI2 Data Science Associate (Graduate)

Toronto, ON · On-site +1

Analyze large data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences * Collaborate with team members and business ...

Td

Data Scientist III

Toronto, ON · On-site

CA$96K - CA$136K/yr

... graduate degree preferred. * 5+ years of relevant experience in data science, analytics, business intelligence, or a related field. Technical Skills: * Advanced proficiency in Python, PySpark, SQL ...

Ontario 407

Senior Data Scientist

Woodbridge, ON · On-site

CA$120K - CA$165K/yr

Data Science and Analytics Location: 6300 Steeles Ave West, Woodbridge Total Potential Compensation ... Graduate degree in Statistics or Operations Research preferred. * 6+ years working experience with ...

Lbg

... analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run ...

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Data Analytics Graduate information

See Ontario salary details

$24K

$98.6K

$183.5K

How much do data analytics graduate jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data analytics graduate in Ontario is $98,642.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a data analytics graduate?

A Data Analytics Graduate job is an entry-level role designed for recent graduates with a background in data science, statistics, or related fields. It typically involves collecting, cleaning, analyzing, and visualizing data to help organizations make data-driven decisions. Graduates in this role may work with tools like SQL, Python, Excel, and data visualization software to interpret trends and patterns. They often collaborate with different departments to provide insights that optimize business processes. This role serves as a foundation for more advanced positions in data analytics or data science.

What are typical career paths or growth opportunities for a data analytics graduate?

As a Data Analytics Graduate, you often start by supporting more senior analysts with data preparation, exploratory analysis, and report generation. Over time, you can advance to positions such as Data Analyst, Business Intelligence Analyst, or Data Scientist, depending on your interests and ongoing skill development. Many organizations encourage further training and offer mentorship to help you specialize in areas like machine learning, data engineering, or domain-focused analytics. With experience and demonstrated impact, leadership roles such as Analytics Manager or Team Lead become attainable, providing broader responsibilities and strategic input into organizational decision-making.

What are the key skills and qualifications needed to thrive in the data analytics graduate position, and why are they important?

To thrive as a Data Analytics Graduate, you need a solid understanding of statistics, data modeling, and analytical techniques, usually supported by a relevant degree in mathematics, statistics, computer science, or a related field. Familiarity with tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is highly valued, and certifications in these can provide an added advantage. Strong problem-solving abilities, attention to detail, and effective communication skills help you distill complex data sets into actionable insights and present findings to diverse stakeholders. These skills are essential for delivering data-driven solutions that support business decisions and foster organizational growth.

Is a master's degree in data analytics worth it?

For a data analytics graduate, a master's degree can enhance technical skills such as statistical analysis and data visualization, potentially leading to higher-level roles and increased salary. However, practical experience, certifications, and proficiency with tools like SQL and Python are also highly valued in the field and can sometimes substitute for advanced degrees. The decision depends on career goals and the specific requirements of employers in the industry.

What can I do with a master's degree in data analytics?

A master's degree in data analytics prepares graduates for roles such as data analyst, data scientist, or business intelligence analyst, involving skills in statistical analysis, data visualization, and programming with tools like SQL, Python, or R. These roles typically require strong analytical thinking, familiarity with data management, and the ability to interpret complex data to support decision-making.

What kind of jobs can I get with a degree in data analytics?

A degree in data analytics qualifies you for roles such as data analyst, business analyst, data scientist, and operations analyst. These positions involve analyzing data sets, creating reports, and supporting decision-making using tools like Excel, SQL, and visualization software. Strong analytical skills and knowledge of statistical methods are essential for these jobs.

What are popular job titles related to Data Analytics Graduate jobs in Ontario?

For Data Analytics Graduate jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Analytics Graduate jobs in Ontario look for?

The top searched job categories for Data Analytics Graduate jobs in Ontario are:

Data Analytics Graduate jobs near you
Infographic showing various Data Analytics Graduate job openings in Ontario as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 66% Full Time, 20% Part Time, and 12% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $98,642 per year, or $47.4 per hour.

Manager/ Sr. Manager - Analytics Consulting (Canada)

Toronto, ON • On-site

Tiger Analytics
Business Management Consulting • 201 - 500 employees
Learn more about Tiger Analyticsexternal

Other

Re-posted 20 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and data analytics background.

Responsibilities
  • Work on the latest applications of data science to solve business problems
  • Work directly with client stakeholders to translate business problems into high level analytics solution designs
  • Present analytical solutions to business audiences highlighting robustness of the solution and how it could help generate business value
  • Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably
  • Responsible for managing analytics projects, collaborating with client stakeholders and Tiger's team situated globally
  • Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights
  • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution
Requirements
  • 6-10 years of professional work experience with at least 5 years in data analytics
  • Ability to engage with executive/VP level stakeholders from client's team to translate business problems to high level analytics solution approach
  • Solid understanding of statistical and machine learning algorithms
  • Strong project management and team management skills and ability to work with global teams
  • Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
  • Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
  • Graduate in Business Analytics or MBA or equivalent work experience
Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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