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Data Analysis Assistant Jobs in Toronto, ON (NOW HIRING)

Cna

Senior Data Analytics Consultant

Toronto, ON · On-site

CA$90K - CA$105K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... Perform detailed exposure analysis at account and location levels, including loss attribution and ...

Ellisdon

Data Analyst

Mississauga, ON

CA$75K - CA$90K/yr

Leverage your: knowledge of statistical/mathematical methods; expertise with data analysis tools ... EllisDon uses AI tools to assist in screening and assessing applicants for this position.

Ci

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

The ideal candidate will have a strong background in both data analysis and business processes ... * Assist in building reports, dashboards, and analytics tools to monitor key metrics and trends.

City of Toronto

DATA ANALYST & INTEGRATOR

Toronto, ON · Hybrid

CA$44.64 - CA$48.88/hr

To provide technical support and assist in data cleaning, manipulation, analysis and visualization on data to deliver insights and contribute to evidence informed decision making and solutions. Major ...

AIP Connect

Data Analyst, Consumer Insights

Toronto, ON

CA$50K - CA$65K/yr

Skilled in conducting thorough, fact-based analysis. * Strong time management and multitasking ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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All JobsData Analysis JobsData Analysis Assistant JobsData Analysis Assistant Jobs in Toronto, ON

Data Analysis Assistant information

See Toronto, ON salary details

$10

$26

$61

How much do data analysis assistant jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data analysis assistant in Toronto, ON is $26.99, according to ZipRecruiter salary data. Most workers in this role earn between $16.98 and $33.49 per hour, depending on experience, location, and employer.

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

AspectData Analysis AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in related fields
Work EnvironmentSupportive, entry-level roles in offices or teamsIndependent or team-based analysis in various industries
Employer & Industry UsageEntry-level support roles across sectorsData-driven decision-making roles in multiple industries
Common Search & ComparisonOften compared for entry-level data support rolesMore advanced, analytical positions

The Data Analysis Assistant typically performs entry-level support tasks, assisting with data collection and basic analysis, often requiring an associate's degree or certifications. In contrast, Data Analysts handle more complex data interpretation, reporting, and strategic insights, usually holding a bachelor's degree or higher. While both roles work in similar environments, the Data Analyst role involves greater responsibility and independence.

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

To thrive as a Data Analysis Assistant, you need a solid background in statistics, data interpretation, and proficiency with spreadsheets, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Microsoft Excel, SQL, and basic knowledge of programming languages like Python or R is commonly required. Attention to detail, critical thinking, and strong communication skills help you effectively process data and present findings. These competencies are crucial for ensuring accurate data handling, supporting sound business decisions, and enabling effective teamwork.

What does a data analysis assistant do?

A Data Analysis Assistant supports data analysts and data scientists by collecting, cleaning, organizing, and preparing data for analysis. They help ensure the accuracy and integrity of datasets, create basic reports or visualizations, and may assist with statistical analysis or data entry tasks. Their work allows the analysis team to focus on more complex data interpretation and decision-making, making the assistant an essential part of the data workflow.

What are some common challenges faced by data analysis assistants when supporting multiple projects simultaneously?

Data Analysis Assistants often juggle several projects at once, which can make prioritizing tasks and managing time a challenge. Balancing the differing data requirements, deadlines, and communication with multiple team members requires strong organizational skills and adaptability. It's important to maintain clear documentation, proactively clarify expectations with project leads, and regularly update stakeholders on progress. Effective use of tools for tracking assignments and deadlines can help ensure accuracy and timely delivery of analyses.
What are the most commonly searched types of Data Analysis jobs in Toronto, ON? The most popular types of Data Analysis jobs in Toronto, ON are:
What are popular job titles related to Data Analysis Assistant jobs in Toronto, ON? For Data Analysis Assistant jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Data Analysis Assistant jobs in Toronto, ON look for? The top searched job categories for Data Analysis Assistant jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Data Analysis Assistant jobs? Cities near Toronto, ON with the most Data Analysis Assistant job openings:
Data Analysis Assistant jobs near you
Infographic showing various Data Analysis Assistant job openings in Toronto, ON as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $56,138 per year, or $27 per hour.

Associate Data Analyst (Co-op)

Insurance Systems

Toronto, ON • Remote

Other

Posted 2 days ago

New

Job description

About ISI

Insurance Systems Inc. (ISI) develops innovative software solutions for the property and casualty insurance industry across North America. Our collaborative team partners with insurers to modernize operations through technology, analytics, and exceptional client service.



Position Summary 

The Associate Data Analyst (Co-op) will support the Data Team in delivering reporting, analytics, data conversion, and quality assurance activities for ISI. This role provides hands-on experience working with insurance data, business intelligence tools, SQL, and client implementations while learning from experienced data professionals. 

The successful candidate will gain exposure to the full software development lifecycle and collaborate with Product, Client Services, Development, and Quality Assurance teams. 


Key Responsibilities: 

Analytics & Reporting 

  • Assist with creating and maintaining reports within ISI Core and ISI Analytics. 
  • Support the development of new reports based on business and client requirements. 
  • Review existing reports and recommend opportunities for improvement. 
  • Help maintain report documentation and user guides. 
  • Perform report validation and testing prior to release. 
  • Assist with troubleshooting report and data issues. 
  • Support Analytics deployment activities. 
  • Assist with customer inquiries related to reporting and analytics. 
  • Learn and explore emerging analytics technologies, including Generative AI and Business Intelligence tools. 



Data Conversion 

  • Support data conversion activities for new client implementations. 
  • Assist in documenting data mapping requirements. 
  • Help prepare and execute data validation queries. 
  • Review converted data for accuracy and completeness. 
  • Participate in conversion testing activities. 
  • Quality Assurance & Business Analysis 
  • Assist in documenting business and reporting requirements. 
  • Support testing of new product enhancements and bug fixes. 
  • Execute test cases and document results. 
  • Identify, document, and report defects. 
  • Participate in team meetings and solution discussions. 



General 

  • Collaborate with Data Analysts, Developers, Product Managers, and Client Services teams. 
  • Maintain accurate documentation for assigned work. 
  • Continuously develop technical and analytical skills. 
  • Contribute ideas for improving reporting processes and team efficiency. 



Qualifications: 

Required 

  • Currently enrolled in a College or University program in: 
  • Computer Science 
  • Data Analytics 
  • Information Systems 
  • Mathematics 
  • Statistics 
  • Software Engineering 
  • Business Technology Management 
  • or a related discipline. 
  • Strong analytical and problem-solving skills. 
  • Excellent attention to detail. 
  • Strong written and verbal communication skills. 
  • Ability to manage multiple priorities and meet deadlines. 
  • Eagerness to learn new technologies. 


Technical Skills 

  • Experience with or an interest in learning: 
  • SQL 
  • Microsoft Excel 
  • Power BI or other Business Intelligence tools 
  • Data analysis and reporting 
  • Relational databases 
  • Software testing 
  • Data validation 
  • Microsoft Office Suite 


Nice to Have 

  • Knowledge of insurance or financial services 
  • Experience with Python or another programming language 
  • Familiarity with Microsoft SQL Server 
  • Exposure to ETL or data migration concepts 
  • Experience using AI tools to support data analysis or reporting 


What You'll Learn 

During your co-op term, you'll gain experience in: 

  • Business Intelligence and reporting 
  • SQL development 
  • Data conversion and migration 
  • Software Quality Assurance 
  • Business Analysis 
  • Client-facing consulting 
  • Insurance software implementation 
  • Modern analytics tools and AI-enabled reporting 

Work Environment

This is a paid, 16-week co-op placement based in our Toronto office, with a work environment that provides opportunities to collaborate closely with experienced professionals while gaining hands-on industry experience.


Accessibility & Accommodation

At Insurance Systems Inc., we believe that diverse perspectives make us stronger. We are committed to providing an inclusive, accessible recruitment process for all candidates. If you require accommodation during any stage of the hiring process, please let us know. We will work with you to provide reasonable accommodations in accordance with applicable legislation.