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Data Analysis Intern Jobs in Vaughan, ON (NOW HIRING)

Hitachi

ALM Scripting & Reporting Intern

Toronto, ON · Hybrid

CA$23 - CA$30/hr

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 ...

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All JobsData Analysis Intern JobsData Analysis Intern Jobs in Vaughan, ON

Data Analysis Intern information

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How much do data analysis intern jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for data analysis intern in Vaughan, ON is $22.47, according to ZipRecruiter salary data. Most workers in this role earn between $17.51 and $25.93 per hour, depending on experience, location, and employer.

What are some common challenges faced by Data Analysis Interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

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

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

What Do Data Analysis Interns Do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

What does a Data Analysis Intern do?

A Data Analysis Intern assists in collecting, processing, and interpreting data to help organizations make informed decisions. They often use tools like Excel, SQL, or Python to analyze datasets, create visualizations, and generate reports. Interns work under the supervision of experienced data analysts or data scientists, learning to apply statistical techniques and solve real-world business problems. This role provides hands-on experience in data analytics and helps interns develop valuable technical and analytical skills.

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

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.
More about Data Analysis Intern jobs
What cities near Vaughan, ON are hiring for Data Analysis Intern jobs? Cities near Vaughan, ON with the most Data Analysis Intern job openings:
Data Analysis Intern jobs near you
Infographic showing various Data Analysis Intern job openings in Vaughan, ON as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $46,741 per year, or $22.5 per hour.

Co-op/ Intern Engineer, Data & Analytics

Kinaxis Inc.

Toronto, ON • On-site

CA$25.24 - CA$37.02/hr

Other

Re-posted 15 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

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