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Data Analytics Virtual Internship Jobs in Toronto, ON

... through virtual warehouse right-sizing, auto-suspend/resume configuration, result cache ... Data Engineer) or AWS certifications (Solutions Architect, Data Analytics Specialty)Experience in a ...

Sr. Data Specialist

Mississauga, ON ยท On-site +1

CA$99K - CA$132K/yr

This person will work cross-functionally with other technology teams, data scientists/analysts, BI ... Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related ...

Sr. Data Specialist

Mississauga, ON ยท On-site +1

CA$99K - CA$132K/yr

This person will work cross-functionally with other technology teams, data scientists/analysts, BI ... Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related ...

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 ...

Senior Data Analyst (m/f/d)

Toronto, ON ยท On-site +1

CA$110K - CA$140K/yr

Build analytics agents and self-service solutions that help teams access metrics and trusted ... Virtual wellness events * Conferences & training budget * Regular internal training programs

Teladoc Health is the global virtual care leader, offering comprehensive virtual care solutions ... The Data Engineer works closely with analytics, operations, IT, data governance, and AI ...

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 ...

AI & Data Analyst

Mississauga, ON ยท On-site

CA$24.45 - CA$48.49/hr

WritingandoptimizingSQL queries to support data validation, reporting, and analytics use cases ... internships count!) Bonus points if you have: * CloudPlatform Exposure - familiarity with AWS ...

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Data Analytics Virtual Internship information

See Toronto, ON salary details

$19.1K

$88.8K

$171.3K

How much do data analytics virtual internship jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data analytics virtual internship in Toronto, ON is $88,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,808.00 and $121,678.00 per year, depending on experience, location, and employer.

What is a data analytics virtual internship?

A Data Analytics Virtual Internship is a remote learning experience where participants gain practical skills in analyzing and interpreting data using digital tools, often from home or any location with internet access. Interns work on real-world projects, such as data cleaning, visualization, and reporting, to develop their analytical and technical abilities. These internships typically involve using software like Excel, SQL, Python, or Tableau, and may include mentorship or feedback from industry professionals. Virtual internships offer flexibility, making them accessible to students and career changers worldwide. They are a great way to build experience and enhance your resume in the field of data analytics.

What types of real-world projects can I expect to work on during a data analytics virtual internship?

During a Data Analytics Virtual Internship, you can expect to work on projects such as analyzing business datasets, creating dashboards and visualizations, performing data cleaning, and generating actionable insights to support decision-making. These projects often simulate challenges faced by data analysts in various industries, helping you build practical experience with tools like Excel, SQL, or Tableau. You may also collaborate remotely with other interns or mentors, receive feedback on your work, and present findings, all of which mirror typical professional workflows.

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

AspectData Analytics Virtual InternshipData Analyst
CredentialsOften students or entry-level with coursework in data analysisTypically requires a degree in data science, statistics, or related field
Work EnvironmentRemote, project-based, temporaryFull-time or part-time, in-office or remote
Employer & Industry UsageInternships offered by companies for training; industry-wideFull-time roles in various industries like finance, healthcare, tech

The main difference is that a Data Analytics Virtual Internship is a temporary, training-focused opportunity for beginners or students, often remote, while a Data Analyst is a full-time professional role requiring more experience and credentials. Internships serve as a stepping stone into the industry, whereas data analyst positions involve ongoing responsibilities and career development.

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

To thrive as a Data Analytics Virtual Intern, you need a solid understanding of statistical analysis, data manipulation, and foundational programming skills, often gained through coursework in data science or related fields. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau is typically required. Strong attention to detail, effective communication, and self-motivation help interns stand out when working remotely and collaborating on projects. These skills ensure interns can analyze data accurately, deliver actionable insights, and contribute meaningfully to virtual teams.

What are popular job titles related to Data Analytics Virtual Internship jobs in Toronto, ON?

For Data Analytics Virtual Internship jobs in Toronto, ON, the most frequently searched job titles are:

Infographic showing various Data Analytics Virtual Internship job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $88,838 per year, or $42.7 per hour.

Specialist Data & Analytics

Chartwell Retirement Residences

Mississauga, ON โ€ข Hybrid

Full-time

Posted 21 days ago


Job description

The Opportunity

We are seeking a highly skilled and motivated Data and Analytics Specialist to join our growing Data and Analytics team. The ideal candidate will bring deep technical expertise in Snowflake, Azure cloud services, SQL, Python and Power BI, to help design, develop, and optimize data solutions that support strategic initiatives across the organization.

Key Accountabilities
  • Develop, optimize, and maintain robust data pipelines and ETL processes using Azure Data Factory, Azure Data Lake, and Snowflake.
  • Write, read, and debug complex SQL queries and Snowflake stored procedures to support data transformation and reporting needs.
  • Create and deploy scalable Python scripts and Azure Functions for automation, data processing, and advanced analytics.
  • Collaborate with business stakeholders to understand data requirements and translate them into technical specifications.
  • Support data governance, quality assurance, and metadata management practices across the organization.
  • Contribute to the design and documentation of enterprise data models and pipelines.
  • Develop and maintain analytical reports, dashboards and semantic models using Power BI
  • Monitor pipeline performance and implement improvements for reliability, scalability, and efficiency.
  • Stay current with industry trends and best practices in cloud data engineering and analytics.
Qualifications

Education:

  • Undergraduate degree in Computer Science, Engineering, Mathematics, or related STEM field; a Master's degree is an asset.

Experience:

  • Snowflake certification (e.g., SnowPro Core or Advanced Architect) strongly preferred.
  • At least 3-5 years of experience using a modern data stack with hands-on use of:
    • Snowflake (warehousing, streams, tasks, UDFs)
    • Azure Data Factory, Azure Data Lake, Azure Functions
    • SQL (advanced query development and debugging)
    • Python (data processing and automation)

Skills & Abilities:

  • Functional experience with data visualization tools (e.g., Power BI) is required.
  • DevOps practices is a strong asset.
  • Strong analytical, communication, and problem-solving skills.
  • Demonstrated ability to work independently and collaboratively in a fast-paced environment.

Effort

  • Requires sustained mental focus for data analysis, debugging, pipeline optimization, and report development
  • Involves frequent use of computer systems and cloud-based tools for extended periods
  • Requires multitasking and prioritizing requests from multiple stakeholders in a dynamic environment
  • Attention to detail is critical when handling complex data queries, coding scripts, and quality checks

Working Conditions

  • Work is primarily performed in a corporate office setting with the flexibility of a hybrid work model
  • May involve occasional extended hours during system deployments, data migrations, or project deadlines
  • Requires regular virtual collaboration with cross-functional teams and business stakeholders
  • Must be comfortable working in a fast-paced, agile, and evolving technical environmentย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย 

At Chartwell, we're all about Making People's Lives BETTER: the lives of our residents and their families, and the lives of our employees. Join an exceptional group of diverse, inspiring, and caring people who are empowered to provide personalized, human experiences for our residents and staff through the connections they make every day within our communities.ย 

Chartwell's commitment to diversity and inclusivity is a commitment to hiring people whose skills and abilities contribute the most to the success of the organization and who reflect the communities in which we live and work. We are an equal opportunity employer and welcome applications from a wide range of qualified candidates, including people with disabilities. If you have questions or require assistance with the application process, please email accessibility@chartwell.com or call 1-888-663-6448.ย 

Chartwell may use artificial intelligence to assist in screening and assessing applicants for this position.ย 

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.