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Entry Level Statistics 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 ... Knowledge of research and statistical methods * Experience working with quantitative and/or ...

Completing procedures for general accounting functions such as bank reconciliations, statistical ... Currently pursuing CPA * Entry level technical knowledge and skills * Knowledge of general ledger ...

... of statistical analyses or financial statements, involving premiums, losses and expenses ... DEPTH * Entry level role with a focus on providing functional specialized business services ...

Entry Level Statistics information

See Toronto, ON salary details

$9

$22

$30

How much do entry level statistics jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for entry level statistics in Toronto, ON is $22.56, according to ZipRecruiter salary data. Most workers in this role earn between $18.58 and $24.32 per hour, depending on experience, location, and employer.

What are entry level statistics jobs?

Entry level statistics jobs are positions designed for individuals who are just starting their careers in data analysis and statistical fields. These roles typically involve tasks such as collecting, analyzing, and interpreting data, as well as creating reports and visualizations to support decision-making. Common job titles include statistical assistant, data analyst, or research assistant. Entry level positions usually require a bachelor’s degree in statistics, mathematics, or a related field, and proficiency in statistical software like Excel, R, or SPSS.

What are the key skills and qualifications needed to thrive as an Entry Level Statistician, and why are they important?

To thrive as an Entry Level Statistician, you need a solid background in mathematics, statistical analysis, and a relevant degree such as statistics, mathematics, or a related field. Familiarity with statistical software like R, SAS, SPSS, or Python is typically required, and knowledge of data visualization tools is a plus. Strong analytical thinking, attention to detail, and effective communication skills help you interpret and explain complex data findings to diverse audiences. These competencies are crucial for delivering accurate insights and supporting data-driven decision-making within organizations.

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

AspectEntry Level StatisticsData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentResearch, academia, entry-level corporate rolesBusiness, finance, healthcare, technology sectors
Employer UsageAcademic institutions, research organizations, entry-level corporate rolesCompanies analyzing data to inform decisions, reporting, and strategy

Entry Level Statistics and Data Analyst roles often require similar educational backgrounds, focusing on statistical and analytical skills. While Entry Level Statistics may lean more towards theoretical and research-oriented tasks, Data Analysts typically work directly with business data to generate insights. Both roles are common in various industries and serve as foundational positions for careers in data and analytics.

What types of projects or tasks can I expect to work on in an entry-level statistics role?

In an entry-level statistics position, you can expect to work on tasks such as collecting, cleaning, and organizing data sets, performing basic statistical analyses like descriptive statistics or regression, and assisting in the preparation of reports or presentations. You may also support senior statisticians with experimental design, data visualization, and quality control checks. Collaboration with team members from departments like data science, research, or business analytics is common, and you'll often use statistical software such as R, SAS, or Python to carry out your work.
What job categories do people searching Entry Level Statistics jobs in Toronto, ON look for? The top searched job categories for Entry Level Statistics jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Entry Level Statistics jobs? Cities near Toronto, ON with the most Entry Level Statistics job openings:
Infographic showing various Entry Level Statistics job openings in Toronto, ON as of July 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $46,933 per year, or $22.6 per hour.

Full-time

Re-posted 9 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.