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Data Assistant Jobs in Toronto, ON (NOW HIRING)

Innovative AI-driven assistants or automated workflows that allow stakeholders to converse with data and fetch immediate insights. * Telecom Insights: Analyze heavy data workloads related to ARPU ...

Reconcile bank statements and ensure accuracy of financial data. Assist in the preparation of financial reports and budgets. Manage invoicing and ensure timely collection of payments. Collaborate ...

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 ... Act as a data steward for exposure and portfolio data, including validation, quality control, and ...

Data Scientist

Woodbridge, ON

CA$85K - CA$115K/yr

The successful candidate will assist in leveraging customer, digital, and transportation datasets to create insights on pricing, marketing, and customer travel behavior. The Data Scientist will ...

Data Lineage Support * Assist in documenting data lineage by reviewing SQL, dashboards, and data flows. * Investigate how data moves across systems and support the validation of lineage diagrams.

... data Assist in compiling, processing, and confirming daily labor timesheets Assist in the preparation of Job Hazard Analysis (JHA's) Participate in jobsite safety reviews, toolbox meetings, mass ...

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Data Assistant information

See Toronto, ON salary details

$7

$18

$35

How much do data assistant jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data assistant in Toronto, ON is $18.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $19.27 per hour, depending on experience, location, and employer.

What is a data assistant?

Data Assistants are professionals who support data management processes within an organization. Their responsibilities typically include collecting, entering, cleaning, and maintaining data to ensure its accuracy and accessibility. They often work with spreadsheets, databases, and specialized software to organize and analyze information, making it easier for teams to make data-driven decisions. Data Assistants may also help prepare reports and collaborate with other departments to support research or business operations.

What are some common challenges data assistants face when managing large datasets, and how can they overcome them?

Data Assistants often encounter challenges such as data inconsistencies, missing information, and time-consuming data entry tasks when handling large datasets. To overcome these issues, it’s important to develop strong attention to detail, utilize data validation tools, and follow established data management protocols. Collaborating closely with data analysts and IT teams can also help identify and resolve data quality problems more efficiently, ensuring that the information remains accurate and reliable for stakeholders.

What is the difference between Data Assistant vs Data Analyst?

AspectData AssistantData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require basic certificationsBachelor's degree in data-related fields; certifications like Microsoft Excel or SQL are common
Work EnvironmentOffice settings, data entry centers, or remoteOffice environments, research firms, or corporate settings
Employer & Industry UsageAdministrative support in various industries, including healthcare, education, and retailData-driven decision making in finance, marketing, healthcare, and tech

While Data Assistants focus on data entry, organization, and basic support tasks, Data Analysts interpret data to provide insights and strategic recommendations. Both roles are essential but differ in complexity and scope.

What are the key skills and qualifications needed to thrive as a data assistant, and why are they important?

To excel as a Data Assistant, you need strong attention to detail, proficiency in data entry, and a basic understanding of data management principles, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software such as Microsoft Excel, database platforms, and data visualization tools is typically required. Excellent organizational skills, reliability, and effective communication set top performers apart in this role. These abilities are vital for ensuring data accuracy, supporting efficient workflows, and facilitating informed decision-making within organizations.
What are the most commonly searched types of Data jobs in Toronto, ON? The most popular types of Data jobs in Toronto, ON are:
What job categories do people searching Data Assistant jobs in Toronto, ON look for? The top searched job categories for Data Assistant jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Data Assistant jobs? Cities near Toronto, ON with the most Data Assistant job openings:
Infographic showing various Data Assistant job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 10% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $39,261 per year, or $18.9 per hour.

Full-time

Posted 6 days ago


Job description

The Data Management Assistant's overall purpose is the verification of study data while developing/maintaining the study database, and study reports as well as providing detailed information in response to inquiries from staff and study centres. Evaluate clinical, laboratory and diagnostic case report forms and identify deviant, discrepant or inconsistent data reporting. The ability to apply knowledge of the Study Protocol, Good Clinical Practice, Standard Operating Procedures, study plans and other study documents to daily activities. The ability to apply critical thinking skills to ensure accuracy, effectiveness and efficiency of the study and study related tasks. The Data Management Assistant will provide rounds support and will extract clinical/research data from Burn rounds and chart review.

Database Development
Collaborate with the Research Coordinator, Research Assistant and or Principal Investigator to coordinate the design and
implementation of the study data management database(s), including testing.
Collaborate with the Research Coordinator, Research Assistant and or Principal Investigator to create, program, test,
implement and maintain study specific Edit Checks.

Study Start Up
Create/revise/test/approve Case Report Forms (CRFs), and Reference pages.
Collaborate with study team to ensure that sites are provided with the appropriate start up materials.
Collate with preparing site initiation power point presentations, creation of study protocol and CRF binders, Log shipment
of start-up supplies.
Communicate with sites to ensure all specific regulations are being met.

Edit checks and Reports
Collaborate with study team and database programmers to implement and test study specific edit checks.
Study specific report creation, implementation, analysis and distribution.

Data Validation
Oversees the collection, entry, delivery, verification, management, analysis and reporting of data.
Conduct, analyze and summarize data audits.
Identify deviant, discrepant, or inconsistent data.
Applies quality control notes to identify issues with data.
Identify issues with database implementation.
Identify protocol deviations and lost to follow-up patients.

Follow-up with sites
Data quality, overdue visits, source document collected for adjudication.
Site questions and concerns, site training.

Site correspondence
Responds to inquiries from study centres regarding data quality/issues.

Prepare study materials
Prepare for study meetings (collect materials, create presentation slides).
Create slides for scientific meetings.

Research/Data Management Experience:
Ability to assess data analytically for quality and consistency.
High level of attention to detail, organizational and problem-solving skills to ensure overall best data quality.
Ability to effectively integrate the requirements for database design and functionality to achieve a high level of data quality.
Ability to manage data including database design and development, CRF creating, edit checks, testing and validation while utilizing required systems.
Ability to assess and analyze large volumes of data while isolating trends and identifying discrepancies and errors to ensure clean data.
Computer skills
Knowledge of REDCap is preferred.
Proficient in Microsoft Office (Word, Excel, Macros, Access, and PowerPoint).
Communication
Excellent written and oral communication skills. 
Ability to work with a multidisciplinary team to produce high quality study results. 
Ability to delegate responsibility to other staff and work independently as required.Â