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Data Analysis Internship Jobs in Ontario (NOW HIRING)

Scotiabank

Data Analyst

Toronto, ON

Experience through work, internships, co-op placements, or academic projects with: * Data analysis and reporting * Large datasets and data-driven decision-making * Process improvement or automation ...

Mackenzie Financial Corporation

CA$49K - CA$51K/yr

... internship to be eligible to apply. This is a full-time position requiring 37.5 hours per week ... Analyze structured and unstructured data, organize findings and translate into actionable insights

Vistex

CA$80K - CA$93K/yr

Support data preparation and validation activities. * Assist in maintaining data accuracy within ... analysis. * Internship or academic exposure to ERP systems preferred. The compensation for this ...

DN Capital

Deal Flow: track, source, contact, analyse, present and recommend the most relevant investment ... Preferably with first internship experience in a fast-paced work environment (startup, VC ...

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All JobsData Analysis JobsData Analysis Internship JobsData Analysis Internship Jobs in Ontario

Data Analysis Internship information

See Ontario salary details

$10

$31

$68

How much do data analysis internship jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data analysis internship in Ontario is $31.94, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $41.11 per hour, depending on experience, location, and employer.

What is a data analysis internship?

A Data Analysis Internship is a temporary position where students or recent graduates gain practical experience in collecting, processing, and interpreting data to help organizations make informed decisions. Interns typically work under the supervision of experienced data analysts and use tools like Excel, SQL, or Python to analyze datasets. The role helps interns develop technical and analytical skills, and often includes tasks such as generating reports, identifying trends, and presenting findings. This internship is valuable for building a foundation in data analysis and can lead to future career opportunities in the field.

What are the key skills and qualifications needed to thrive as a data analysis intern?

To thrive as a Data Analysis Intern, you typically need a strong foundation in statistics, analytical thinking, and familiarity with data manipulation, often supported by coursework in mathematics, computer science, or related fields. Proficiency in tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Attention to detail, curiosity, and effective communication skills help interns interpret data accurately and share insights with diverse teams. These abilities are crucial for transforming raw data into actionable insights and supporting informed decision-making within an organization.

What are some common challenges faced during a data analysis internship, and how can I overcome them?

As a Data Analysis Intern, one common challenge is working with large, complex datasets that may have missing or inconsistent information. Learning how to clean and preprocess data efficiently is crucial for meaningful analysis. Another challenge is understanding the business context behind the data, which often requires close collaboration with team members from different departments. To overcome these hurdles, proactively seek guidance from mentors, utilize available documentation, and regularly communicate with stakeholders to clarify project goals and data requirements.

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

AspectData Analysis InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentInternship programs, entry-level, supervisedFull-time, professional setting, independent responsibilities
Employer & Industry UsageInternship programs in tech, finance, healthcare, etc.Full-time roles across various industries
Search & Comparison IntentLooking for entry-level opportunities, internshipsSeeking full-time data analysis roles

In summary, a Data Analysis Internship is an entry-level, supervised position designed for students or recent graduates to gain experience. A Data Analyst is a full-time professional role requiring more experience and responsibility. Both roles are common in similar industries and often share similar educational backgrounds, but they differ significantly in scope and career stage.

Is a data analysis internship worth it?

A data analysis internship provides practical experience with tools like Excel, SQL, and Python, and helps develop skills in data visualization and reporting. It can improve employability, build a professional network, and often leads to full-time opportunities in data-related roles. The value depends on the internship's quality and how well it aligns with career goals.

What are the most commonly searched types of Data Analysis jobs in Ontario?

The most popular types of Data Analysis jobs in Ontario are:

What are popular job titles related to Data Analysis Internship jobs in Ontario?

For Data Analysis Internship jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Analysis Internship jobs in Ontario look for?

The top searched job categories for Data Analysis Internship jobs in Ontario are:

What cities in Ontario are hiring for Data Analysis Internship jobs?

Cities in Ontario with the most Data Analysis Internship job openings:

Data Analysis Internship jobs near you
Infographic showing various Data Analysis Internship job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $66,433 per year, or $31.9 per hour.

Data Analyst Intern (Winter/January 2027, 8+ Months)

Internship List

Oakville, ON

Full-time, Internship

Posted 5 days ago

Job description

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Analyst Intern who will work to help utilize vast datasets to draw meaningful insights and solve business problems. This internship position will analyze and mine business data to identify correlations and discover patterns from various data points. If you love technology, and are keen to join an industry leader - we would love to hear from you!

What you'll do:

As a Data Analyst Intern your key area of responsibility will be to assist with the design and maintenance of data systems and databases using statistical tools to interpret data sets. On a typical day, you will work closely with your direct supervisor, other interns in the same department, as well as other teams within the business. The successful candidate will be an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and others.

The opportunity:
  • 8+ month work-term beginning January 2027.
  • Full-time, paid internship: Monday - Friday, 37.5hrs/week.
  • Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
  • Learn more about the Geotab Campus Program here.
  • This posting is for an existing vacancy.
How you'll make an impact:
  • Collaborate globally with colleagues from the Business Transformation team and other functions of the business to drive results.
  • Build and review statistical, predictive and machine learning models to drive sourcing accuracy.
  • Ensure data quality throughout all stages including data sourcing/collection, generation, normalization, and transformation.
  • Use SQL and Python to interact with Geotab's big data infrastructure.
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc., to drive key business decisions.
  • Build compelling stories from data and present them to different types of technical and non-technical stakeholders.
  • Make recommendations for new metrics, techniques, and strategies to improve Geotab's product suite.
  • Promote data-driven decision-making across the team, using tools such as SQL, and Google Sheets.
  • Provide leaders with insights and visualizations in order to make data decisions to provide the most consistent and usable data for all teams across the company.
What you'll bring to the role:
  • Degree in Computer Science, Engineering, Mathematics, or a related field of study in progress.
  • Some experience as a Data Analyst or pursuing a career path in Data Analytics/Data Science.
  • Technical experience using SQL, Python or Google BigQuery is an asset.
  • Some knowledge of data mining/data warehousing, data modeling, statistical analysis, database management, reporting, and data analysis.
  • Experience with developing machine learning models and in feature engineering is an asset.
  • Some knowledge of data visualization tools (e.g. Superset, Tableau).
  • Strong communication, organization, analytical, and time management skills, as well as a willingness to learn and a strong work ethic.
  • Technical competence using software programs, including but not limited to, Google Suite for business (Sheets, Docs, Slides).
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
How we work:
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. 

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