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Data Assistant Jobs in Ontario (NOW HIRING)

Cogeco

Analyst, BI & Data

Burlington, ON · Hybrid

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 ...

New

KSSP Partners LLP

Bookkeeper

Markham, ON · Hybrid

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 ...

Cna

Senior Data Analytics Consultant

Toronto, ON

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 ...

STRIVE Recruitment

MRP Analyst

Brantford, ON

$55K/yr

Create, analyze, and maintain cycle count reports and inventory data. * Assist with inventory allocations to support production and work order execution. * Generate regular statistical reports and ...

New

Silver Lake Resources

UG Mine Geologist

White River, ON · On-site

... General Assist in entry of production data and the preparation of daily, weekly, and monthly reports Liaise with the Geologists and Metallurgists to assist with ROM ore stockpile management to ...

Ontario 407

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 ...

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Data Assistant information

Is 40 too late for data science?

Data assistants and data scientists can enter the field at any age, including 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, along with practical experience. Many professionals transition into data roles later in their careers successfully.

What are Data Assistants?

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 is the role of a data assistant?

A data assistant supports data management tasks such as collecting, organizing, and maintaining data sets. They often use tools like spreadsheets and databases, ensuring data accuracy and integrity to assist analysts and other team members in decision-making processes.

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 do data assistants do?

Data assistants support data management tasks by collecting, organizing, and maintaining data sets. They often use tools like spreadsheets and databases, perform data entry, verify accuracy, and assist with data analysis to ensure information is complete and reliable.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or Python, and often benefit from relevant coursework or certifications. While prior experience is helpful, entry-level positions may be available for those with strong analytical skills and a willingness to learn on the job.

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 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:
Data Assistant jobs near you
Infographic showing various Data Assistant job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Data Management Assistant

Hamilton Health Sciences

Hamilton, ON

Full-time

Posted 2 days ago

New

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. 

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