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Data Assistant Jobs in Toronto, ON (NOW HIRING)

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 ...

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 ...

Kiewit Corporation

Field Engineer - Ontario

Oshawa, ON · On-site

... 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 ...

Ci

Data Governance Specialist

Toronto, ON

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.

SearchLabs

Data Steward

Markham, ON

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 ...

Alimentiv

Clinical Data Coordinator

Toronto, ON · Hybrid

CA$41K - CA$68K/yr

Project Support * Assist in essential DM documentation preparation for various trial stages (i.e ... Perform data entry where required. * Update database to correct errors. * Assist with generating ...

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Data Assistant information

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How much do data assistant jobs pay per hour?

As of Aug 1, 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.

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 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:
Data Assistant jobs near you
Infographic showing various Data Assistant job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 63% Full Time, 33% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $39,261 per year, or $18.9 per hour.

Junior Data Analyst

Starcom Mediavest Group Germany Gmbh

Toronto, ON • On-site

CA$55K - CA$65K/yr

Full-time

Re-posted 6 days ago

Job description

Company Description

Publicis is an omni-channel communications agency with over 600 employees across our Canadian operations. The office is the largest in our industry in Canada and boasts talent across various disciplines of marketing and advertising expertise. Publicis carries a balanced split of Canadian, U.S. and Global clients for which we are Agency of Record.  Publicis supports a range of D&I actions through our Driving Change team as well as giving back to the community through a long-standing participation in the Out of the Cold Program. With a strong, active and familial culture, Pub United is the agency's social club, hosting events as wide reaching as Curling, Trivia Nights and more.

Job Description

We're looking for a Junior Data Analyst to join our team and help bring data to life across our clients' digital experiences. In this role, you won't just report numbers - you'll interrogate them, asking why a metric moved, what it means for the business, and what we should do about it.

You'll support the implementation and optimization of web analytics solutions using Google Analytics 4 (GA4), turning data into insights that drive smarter decisions. You'll monitor performance, uncover trends, and deliver meaningful recommendations on both a regular and ad-hoc basis. As you do so, you'll ensure your data is accurate and reliable, while taking a strategic approach to uncover opportunities that drive the business forward.

Responsibilities
  • Provide technical expertise on Google Analytics 4 (GA4), Google Tag Manager (GTM), and other relevant digital analytics platforms.
  • Design and implement detailed tracking and tagging plans, partnering with development teams to ensure accurate and comprehensive tracking of user behaviour across client web properties.
  • Contribute to a range of analytics initiatives; including report automation, analytics tagging, data visualization, requirements gathering and documentation, and ad hoc analysis, proactively surfacing the "so what" behind the data
  • Assist in developing KPIs and measurement frameworks aligned to business objectives, asking the right questions during requirements gathering to ensure we're measuring what matters
  • Identify opportunities to improve how we collect, integrate, and analyze data
  • Generate routine reporting, scorecards, and interactive dashboards (including weekly, monthly, quarterly and ad-hoc requests), while actively identifying & sharing key insights from the data
  • Collaborate cross-functionally with various teams across the organization and contribute to client-facing communication that builds strong, trusted relationships
Qualifications

About You

You're curious by nature and excited about using data to improve experiences, performance and decision-making. You enjoy digging into data, asking questions, and finding insights that make an impact.

This might be the right fit if you:

  • Find yourself asking "but why?" when others accept the surface-level answer
  • Feel uncomfortable presenting data without having a point of view on what it means
  • Get a thrill from untangling confusing datasets or spotting new trends

You'll succeed in this role if you:

  • Have exceptional time management skills & can juggle multiple priorities effectively
  • Are proactive, hard-working, and excited by digital possibilities, finding smart solutions to deliver results
  • Set high quality standards for yourself and care about getting the details right
  • Are accountable, and do what it takes to deliver on your commitments
  • Welcome feedback & continuously look for ways to grow 

Qualifications:

  • 1+year(s) of hands-on experience using Google Analytics 4
  • Basic understanding of HTML, CSS and JavaScript
  • Proficient in MS Excel for data analysis
  • Ability to design and build dashboards in Tableau, Looker Studio, PowerBI, or similar data visualization tools.
  • Strong written and verbal communication skills are essential. The ideal candidate should feel comfortable presenting and participating in group discussions involving both internal stakeholders and clients
  • Experience using Google Tag Manager and BigQuery is a plus
Additional InformationSalary  Transparency matters to us. The salary range for this position is CAD $55,000 - CAD $65,000 per year. Actual compensation within this range will be based on a variety of factors, including relevant experience, knowledge, skills, and applicable certifications. This range reflects what we reasonably expect to offer based on current market data.   

AI Use

We use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications or analyzing resumes. These tools assist our recruitment team but never replace human decision-making. We believe in a human-first approach, where your experience and potential are recognized by people.

Publicis Canada is committed to building a diverse workforce representative of our community. We encourage and are pleased to consider all qualified candidates, without regard to race, colour, citizenship, religion, sex, marital / family status, sexual orientation, gender identity, aboriginal status, age, disability or persons who may require an accommodation, to apply.  If you require a specific accommodation please contact Human Resources.

Employment Type: FULL_TIME

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