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Data Analytics Internship Jobs in Ontario (NOW HIRING)

Bucknell

... internship and post graduation career outcomes. * Lead the ongoing development and optimization of ... Ability to understand data and analyze reports * Demonstrated expertise in creating and executing ...

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 ...

Jefferies

Compliance Analyst

Toronto, ON · On-site

Bachelor's degree in Finance, Economics, Business, Political Science, Law, Accounting, Computer Science, Data Analytics, or a related field. * Prior internship experience at an investment bank ...

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Data Analytics Internship information

What is a data analytics internship?

A Data Analytics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with data to identify trends, create reports, and support decision-making within an organization. Interns typically assist with data collection, cleaning, analysis, and visualization, using tools like Excel, SQL, Python, or specialized analytics software. The internship offers practical exposure to real-world business problems and helps interns develop critical technical and analytical skills valuable for a future career in data analytics.

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

To thrive as a Data Analytics Intern, you need a solid grasp of statistics, data analysis, and familiarity with programming languages like Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and proficiency in Excel are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out in collaborative, data-driven environments. These skills are crucial for transforming data into actionable insights and supporting decision-making processes within organizations.

What types of projects do data analytics interns typically work on during their internship?

Data Analytics Interns often work on projects involving data cleaning, exploratory data analysis, and visualization to support business decisions. They may assist in creating dashboards, conducting statistical analyses, or helping to automate data collection processes. Interns frequently collaborate with data analysts, engineers, or business teams to understand project goals and contribute meaningful insights. These projects help interns gain practical experience with industry-standard tools like Excel, SQL, Python, or Tableau, while learning to communicate findings effectively within a team setting.

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

AspectData Analytics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional setting, more responsibility
Employer & Industry UsageInternships offered by companies across industries for trainingFull-time roles in various industries, more specialized
Search & Comparison IntentLooking for entry-level opportunities or internshipsSeeking full-time data analysis roles

The main difference between a Data Analytics Internship and a Data Analyst role is experience level and responsibility. Internships are designed for students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as a stepping stone toward a full Data Analyst career.

What does a data analytics internship do?

A data analytics internship involves assisting with data collection, cleaning, and analysis to support business decision-making. Interns often use tools like Excel, SQL, or Python and gain experience in data visualization and reporting under supervision. The role provides practical skills in data analysis and understanding of industry-standard software.

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 Internship jobs in Ontario?

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

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

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

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

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

Data Analytics Internship jobs near you
Infographic showing various Data Analytics 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.

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

Internship List

Oakville, ON • On-site

Full-time, Internship

Posted 2 days ago

New

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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