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Data Assistant Jobs in Ontario (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 ...

Support the collection, organization, and analysis of operational and production data. * Assist with troubleshooting manufacturing processes and equipment issues under appropriate supervision.

Data Scientist

Woodbridge, ON · On-site

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 ...

Visual classification of soil samples and review of laboratory testing data; assist with laboratory testing, as needed * Preparation of geotechnical services reports, proposals and data analysis

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.

Review submitted data for missing, incomplete, duplicate, or inconsistent information. * Assist with preparing, issuing, and processing customer invoices. * Maintain supporting documentation for ...

Data Steward

Markham, ON · On-site

CA$80K - CA$90K/yr

You'll also assist business users with data inquiries, support data governance initiatives, and help evaluate and implement data governance tools. Promoting data awareness and literacy across the ...

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Data Assistant information

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 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 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 most commonly searched types of Data jobs in Ontario?

The most popular types of Data jobs in Ontario are:

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

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

What cities in Ontario are hiring for Data Assistant jobs?

Cities in Ontario with the most Data Assistant job openings:

Infographic showing various Data Assistant 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 Management Assistant

Hamilton, ON • On-site

Full-time

Posted 27 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.

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.
  • Conduct conference calls with the Sponsor and Clinical Research Associates for site updates.

Prepare study materials

  • Prepare for study meetings (collect materials, create presentation slides).
  • Organize travel arrangements.
  • Order supplies.
  • 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 and databases such as ORCCID and IRIS.

  • Proficient in Microsoft Office (Word, Excel, , and PowerPoint).

Communication

  • Excellent written and oral communication skills and ability to work flexible hours

  • Ability to work with a multidisciplinary team (local, national, and international) to produce high quality study results. 

  • Ability to delegate responsibility to other staff and work independently as required.

Assets: 

  • Bachelor's degree in science preferred

  • Working knowledge of HHSC systems, processes, organizational structure and SOPs.

  • Clinical Trial experience.

  • GCP, TCPS2 training.