Internship jobs in Canada

Explore internship jobs across Canada. Choose a location and read the full job details.

5,844 listings · 1,085 employers Counted Sep 29, 2026. How we count

About these jobs

Employers hiring include Interior Health Authority (393 listings), Bridgepoint Maintenance (229 listings), Royal York Property Management (228 listings).

Common roles: Registered nurse, Cleaner, Practical nurse.

277 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	23.50	178
CAD / year	50,000.00	40
CAD / month	4,117.00	23
USD / hour	14.00	12

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 1% remote, 19% hybrid, 80% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Internship jobs in Canada

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Staffline Solutions

Data Analytics Intern

Canada

Job type: Internship
Posting language: English
Posted: Sep 22, 2026

Apply About employer

Applications open in a new tab.

Original job description

Data Analytics Intern – Canada

Role Overview

We are hiring a Data Analytics Intern on behalf of one of our clients in Canada. This opportunity is suitable for individuals who are interested in working with data, uncovering meaningful insights, supporting business decisions, and developing practical experience with modern analytics tools and techniques.

Key Responsibilities

Explore and interpret datasets to identify meaningful business insights and emerging patterns

Assist in converting raw data into structured and usable analytical datasets

Develop recurring reports and analytical summaries for different business functions

Create interactive dashboards and visualizations to communicate data findings effectively

Analyze customer, sales, operational, and performance data to identify trends and improvement areas

Assist with ad-hoc data analysis requests from business and technical stakeholders

Perform exploratory data analysis to investigate relationships, anomalies, and data patterns

Prepare datasets for reporting by applying appropriate transformation and formatting techniques

Compare historical and current data to identify changes in business performance

Support the development of analytical models and data-driven reporting solutions

Assist in defining and tracking relevant business metrics and performance indicators

Validate analytical outputs and investigate inconsistencies or unusual results

Collaborate with different teams to understand their data requirements and reporting needs

Help automate repetitive reporting and data preparation activities

Present analytical findings using clear visualizations, summaries, and presentations

Maintain documentation related to datasets, reports, dashboards, and analytical methodologies

Support data-driven process improvement initiatives across business functions

Research new analytical approaches and tools that could improve reporting efficiency

Contribute to ongoing data analytics projects and other analytical initiatives as required

Technical Skills

Working knowledge of SQL and relational database concepts

Proficiency in Excel, including formulas, pivot tables, lookups, and data manipulation

Familiarity with Python or R for data analysis is an advantage

Experience or exposure to Power BI, Tableau, Looker, or similar visualization platforms

Understanding of data cleaning, transformation, and exploratory data analysis

Basic knowledge of statistical concepts and analytical methods

Familiarity with data formats such as CSV, JSON, and Excel files

Understanding of basic database querying and data extraction techniques

Exposure to cloud-based analytics environments is a plus

Familiarity with version control tools such as Git is an advantage

Required Skills

Strong curiosity and interest in working with data

Ability to identify patterns and communicate insights clearly

Good numerical and logical reasoning skills

Strong attention to detail when handling datasets and reports

Ability to explain technical or analytical findings to non-technical audiences

Good written and verbal communication skills

Ability to organize multiple analytical tasks effectively

Strong willingness to learn new analytical tools and methodologies

Ability to work collaboratively in a professional environment

Why Join Us

Gain practical experience working with real business datasets

Develop the ability to turn complex data into clear and useful insights

Build hands-on experience in reporting, visualization, and exploratory analysis

Strengthen your SQL, Excel, Python, and business intelligence skills

Gain exposure to different types of business and operational data

Learn how analytics can support planning, performance tracking, and business improvement

Develop experience creating dashboards and presenting analytical findings

Work alongside professionals and understand real-world analytics workflows

Improve your ability to communicate data insights to technical and non-technical stakeholders

Gain exposure to modern data analytics practices and technologies

Build practical projects and experience that can strengthen your professional portfolio

Develop a strong foundation for future careers in Data Analytics, Business Intelligence, Data Science, or related fields

Opportunity to expand your technical and analytical skill set through practical project exposure

Apply About employer

More about this job

Responsibilities

The intern will explore and interpret datasets to identify business insights while assisting in the creation of reports and interactive dashboards. They will also collaborate with various teams to automate reporting processes and support data-driven decision-making initiatives.

Requirements

Candidates should have a working knowledge of SQL, Excel, and data visualization tools, with familiarity in Python or R being an advantage. Strong analytical curiosity, attention to detail, and the ability to communicate technical findings to non-technical audiences are required.

Skills

SQL
Excel
Python
R
Power BI
Tableau
Looker
Data cleaning
Data transformation
Exploratory data analysis
Statistical concepts
Data visualization
Git
Reporting
Logical reasoning
Communication

Visa sponsorship

Not detected in the job text

Keywords

Data Analytics
SQL
Excel
Python
R
Power BI
Tableau
Looker
Data Visualization
Exploratory Data Analysis
Reporting
Dashboards
Git
Business Intelligence
Data Cleaning
Statistical Methods
Relational Databases
Data Transformation
Performance Metrics
Cloud Analytics

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