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

This is an entry-level role on an established team that is looking for someone who is interested in ... of data tables and coding, doing basic statistical analyses (where applicable), and report ...

... data entry, record maintenance, and transaction processing related to employee benefit programs ... This is an entry-level, administrative-focused position and does not involve benefit plan analysis ...

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.

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Entry Level Data Analyst information

See Toronto, ON salary details

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

As of Aug 8, 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 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.

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 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 the most commonly searched types of Data Analyst jobs in Toronto, ON? The most popular types of Data Analyst jobs in Toronto, ON are:
What are popular job titles related to Entry Level Data Analyst jobs in Toronto, ON? 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:
Infographic showing various Entry Level Data Analyst job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $45,609 per year, or $21.9 per hour.

Full-time

Re-posted 18 days ago


Job description

Are you an organized, detail-oriented, and proactive professional with a passion for marketing research? Are you someone that thrives in a fully remote environment, enjoys collaborating with multiple key stakeholders, and takes pride in the work you do? Do you have a sense of curiosity, enjoy learning new things, and want to better understand the healthcare and pharmaceutical market? MD Analytics is looking for a motivated Research Associate to join our team immediately.


The Opportunity: Research Associate based in the Greater Toronto Area

Working with a team in Toronto, you will be responsible for providing proactive day-to-day management of multiple ongoing marketing research projects while gaining experience and developing your career in market research. We're looking for someone who regularly communicates openly, is comfortable asking questions, and can take initiative by proactively contributing to ongoing project management. This is an entry-level role on an established team that is looking for someone who is interested in learning, contributing to the overall success of the team and company, and building a career in market research.


Reporting to the Account Director, you will be responsible for projects throughout the project lifecycle - from fieldwork to final reporting - while ensuring high standards of quality and efficiency. Key areas of focus include quality control for scripting, managing fieldwork, note-taking, creating data table/analysis plans, overseeing the set-up of data tables and coding, doing basic statistical analyses (where applicable), and report development.


MD Analytics is a leader in remote work and transitioned all employees to fully remote positions in 2017. Candidates for this position must be comfortable working from home full-time while adequately managing potential distractions and be willing to engage in an established remote work company culture.


The Ideal Candidate: Requirements and Experience

  • A university degree is required; a focus in marketing, health sciences, statistics, or other relevant discipline is preferred
  • Excellent written and communication skills
  • Proven skills in critical thinking, attention to detail, and meeting or exceeding deadlines
  • Strong skills in Microsoft PowerPoint, Excel, and Word; familiarity in SPSS or other equivalent statistical software packages an asset
  • Ability to work independently and self-manage time
  • Knowledge of research and statistical methods
  • Experience working with quantitative and/or qualitative consumer/customer research methodologies considered a significant asset
  • Experience in pharmaceutical or healthcare-related marketing research considered an asset

Compensation and Benefits

As part of a high-performing team, we offer a competitive salary, health benefits and RRSP matching. We also offer professional development through industry accredited organizations as well as a flexible team environment that recognizes and rewards individual achievements. Starting salary to commensurate upon experience and qualifications.


Located in the greater Toronto area, this position is home-office based with local-office in-person events every 2-3 months, and a company-wide in-person event annually. This specific role is only open to candidates living within the Greater Metropolitan areas of Toronto. Other areas in Canada may be considered depending on skill level.


MD Analytics is an equal opportunity employer. Only qualified applicants will be contacted without paying attention to race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, record of offences, age, marital status, family status or disability or other characteristics.


For more information about us, go towww.mdanalytics.com.