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Data Analytics Intern Jobs in Ontario (NOW HIRING)

Required Qualifications · Analytical skills (proficiency in analyzing data & identifying trends ... · This intern will work 8 hours per day, Monday to Thursday onsite and Friday remote · ...

Data and Business Intelligence Analyst, Intern Rail Pass Type: Internship/Co-op (Full-time/Hybrid) Departure and Arrival Date (Start -End): September 2026 - August 2027 (12months) Vacancy: 1 Location ...

The Financial/Market Analyst Intern will be involved with all phases of planning, forecasting ... Detail oriented mindset, strong data analysis skills; financial/business modeling experience a plus.

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Data Analytics Intern information

See Ontario salary details

$7

$32

$76

How much do data analytics intern jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for data analytics intern in Ontario is $32.08, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $46.15 per hour, depending on experience, location, and employer.

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

To thrive as a Data Analytics Intern, you need a solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are some common challenges Data Analytics Interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

What does a Data Analytics Intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

What is the difference between Data Analytics Intern vs Data Analyst?

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

What are the most commonly searched types of Data Analytics jobs in Ontario? The most popular types of Data Analytics jobs in Ontario are:
What are popular job titles related to Data Analytics Intern jobs in Ontario? For Data Analytics Intern jobs in Ontario, the most frequently searched job titles are:
What cities in Ontario are hiring for Data Analytics Intern jobs? Cities in Ontario with the most Data Analytics Intern job openings:
Infographic showing various Data Analytics Intern job openings in Ontario as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $66,721 per year, or $32.1 per hour.

Co-op/ Intern Engineer, Data & Analytics

Kinaxis Inc.

Toronto, ON • On-site

CA$25.24 - CA$37.02/hr

Other

Re-posted 14 days ago


Job description

About Kinaxis 

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, with a brand-new HQ based in Kanata North in Ottawa. As one of Canada's Top Employers for Young People (2024), we want to help you take the first step in crafting your career journey.

At Kinaxis, we power the world's supply chains to help preserve the planet's resources and enrich the human experience. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries, with more than 40,000 users in over 100 countries. We are expanding our team as we continue to innovate and revolutionize how we support our customers.

About the Team

The Data & Analytics team at Kinaxis drives transformation into a data-driven organization. By designing and governing scalable, modern data ecosystems, we ensure reliable, high-quality, and accessible data that empowers decision-making across the company. Our expertise spans data integration, engineering, governance, business intelligence, and cloud cost optimization.

As a Data & Analytics Intern/Co-op Student, you will have the opportunity to gain hands-on experience and develop skills in data integration, engineering, modeling, business intelligence, and observability. Working alongside experienced team members, you will help transform legacy systems into a cloud-native, modern data stack and create innovative data products that drive Kinaxis' decision-making. By contributing to the innovation of Kinaxis' data ecosystem, you will gain practical experience while playing a part in the company's growth and success.

Location: 

Hybrid - Ottawa

Term Duration

This is a full-time, 8 month position, starting September, 2026. 

Co-op or Intern

This position is open to co-ops and interns. To be eligible for a Co-op or Intern position at Kinaxis, you must either be currently enrolled in full-time education or, if you are a recent/upcoming graduate, your graduation date must be within 12 months of the placement end date.

Compensation range

$25.24- $37.02 hourly rate. The final offer within this range will reflect the candidate's skills, year of education and experience.

Vacancy Status

This is an existing job vacancy.

Canadian Citizenship or Permanent Residency is required to obtain CGRP Security Clearance, a requirement of the role.

What you will do

Modernization & Development

  • Assist in modernizing data systems with cloud-based tools.
  • Learn and apply modern data engineering practices and tools under guidance.
  • Develop basic data pipelines and integrations.
  • Participate in data validation, cleansing, and error-handling mechanisms to maintain data quality.
  • Stay updated on the latest technology trends relevant to your role.

Collaboration & Solution Design

  • Work with team members to gather requirements and support small-scale data-driven solutions.
  • Contribute to team planning and the execution of data projects.
  • Troubleshoot issues while focusing on learning and skill development.
  • Work in an agile environment to deliver tasks collaboratively.

Insights & Enablement

  • Create simple data models and dashboards to provide actionable insights to stakeholders.
  • Build and maintain visually appealing BI reports/dashboards.

Storytelling & Influence

  • Learn to deliver compelling presentations to engage and inform stakeholders.

What we are looking for

  • Currently enrolled in a Bachelor's degree program in Computer Science, Software Engineering, or related fields.
  • Exposure to SQL, Python, or data pipeline tools (e.g., Airflow, dbt) through coursework or previous projects.
  • Exposure to BI tools such as PowerBI and/or Looker is a plus
  • Basic understanding of software engineering principles, including CI/CD pipelines, version control (Git), and RESTful APIs.
  • Basic knowledge of database concepts and different types of data models.
  • Interest in infrastructure-as-code (Terraform) and/or configuration-as-code (Ansible) is a plus.
  • A passion for learning and solving technical challenges.
  • Must be a Canadian Citizen or a Permanent Resident due to CGRP security requirements

Things that would definitely help

  • Learn how to modernize legacy systems using cutting-edge cloud-native technologies.
  • Gain hands-on experience in developing data products that create a tangible impact.
  • Collaborate with cross-functional teams to deliver innovative data solutions.

We're accepting applications now through end of day on Friday, June 5, 2026. Please note that we may begin reviewing applications before the posting closes, so early submission is encouraged. 

Work With Impact: Our platform directly helps companies power the world's supply chains. We see the results of what we do out in the world every day-when we see store shelves stocked, when medications are available for our loved ones, and so much more. 

Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Ford, Unilever, Yamaha, P&G, Lockheed-Martin, and more. 

Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we're committed to net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and these are some of the perks and benefits we created for our team:

  • Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month)
  • Flexible work options
  • Physical and mental well-being programs
  • Regularly scheduled virtual fitness classes
  • Mentorship programs and training and career development
  • Recognition programs and referral rewards
  • Hackathons

For more information, visit the Kinaxis web site at www.kinaxis.com or the company's blog at http://blog.kinaxis.com.

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at recruitmentprograms@kinaxis.com. Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description, to identify candidates whose education, experience and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.

  

Employment Type: INTERN