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Entry Level Data Analyst Jobs in Toronto, ON (NOW HIRING)

Nestle

Marketing Associate

North York, ON · Hybrid

Support the analysis of consumer insights and market data to inform marketing strategies and ... Bachelor's degree in Business, Marketing, or a related field preferred. * Entry-level opportunity.

Munich Re

Claims Handler - Technical Accountant

Toronto, ON · Hybrid

CA$59K - CA$77K/yr

Review policy documents, analyze data and investigate discrepancies to clear aged accounts receivables/payables. Review, reconcile and post clients' premiums, claims and commissions bordereaux for ...

PCL Construction

Accountant

Oakville, ON

CA$51K - CA$70K/yr

Performs clerical and data entry support to meet contractual requirements for operational and basic ... Provides project teams with ad hoc reports and analysis as the need arises. * Assists with the ...

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All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Toronto, ON

Entry Level Data Analyst information

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$11

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$34

How much do entry level data analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for entry level data analyst in Toronto, ON is $21.93, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $25.69 per hour, depending on experience, location, and employer.

What does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What are the key skills and qualifications needed to thrive as an entry level data analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

More about Entry Level Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Toronto, ON?

The most popular types of Data Analyst jobs in Toronto, ON are:

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For Entry Level Data Analyst jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst jobs in Toronto, ON look for?

The top searched job categories for Entry Level Data Analyst jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Entry Level Data Analyst jobs?

Cities near Toronto, ON with the most Entry Level Data Analyst job openings:

Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $45,609 per year, or $21.9 per hour.

Tired of Your Income Being Capped? Work from Home Opportunity

AO Garcia Agency

Toronto, ON • On-site, Remote

Full-time

Re-posted 25 days ago

Job description

Are you a passionate individual seeking a fulfilling career that offers flexibility and growth opportunities? Look no further! With the option to work from home and enjoy a flexible schedule, you can balance your personal and professional life seamlessly while advancing your career.
 
In this role, you will assume a vital position in securing families' financial well-being..
 
Typical day-to-day tasks include:
Conducting virtual consultations with clients.
Assessing clients' needs and imparting knowledge on solutions.
Cultivating lasting client relationships through consistent, periodic check-ins.
Completing related administrative tasks (like note taking, appointment setting, etc.) as needed.
 
Incentives include but not limited to:
No cold calling
Qualified lead program
Advancement based on performance
Weekly pay
Mentorship and complete training
Industry leading tools and technology access
Work from home (web conference-based presentations)
 
Looking for candidates who hold the below characteristics:
Passionate. Competitive. Motivated. Dependable. Hardworking. Adaptable. Flexible, Trainable.
 
If you are a hard-working, motivated team player, this may be an opportunity for you!
 
*All interviews will be conducted via Zoom video conferencing
(Global Elite Empire Consultants is a third-party recruiter, not an insurance agency)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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