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Statistics Assistant Jobs in Ontario (NOW HIRING)

The University of Toronto seeks a full-time Assistant Professor in Statistical Learning Theory to commence on July 1, 2027. This role prioritizes innovative research and inclusive teaching practices.

Study Report Support * Assist medical director(s) and/or technical writers by preparing statistical section of study report, publications and/or presentations ensuring statistical analyses adheres to ...

Study Report Support * Assist medical director(s) and/or technical writers by preparing statistical section of study report, publications and/or presentations ensuring statistical analyses adheres to ...

Study Report Support * Assist medical director(s) and/or technical writers by preparing statistical section of study report, publications and/or presentations ensuring statistical analyses adheres to ...

Study Report Support * Assist medical director(s) and/or technical writers by preparing statistical section of study report, publications and/or presentations ensuring statistical analyses adheres to ...

Study Report Support * Assist medical director(s) and/or technical writers by preparing statistical section of study report, publications and/or presentations ensuring statistical analyses adheres to ...

Study Report Support * Assist medical director(s) and/or technical writers by preparing statistical section of study report, publications and/or presentations ensuring statistical analyses adheres to ...

Analyze reports and department statistics * Assist in the implementation of plans to control and maintain safety, quality, 5S, cost, and efficiency for assigned areas * Manage engineering changes ...

This entry-level role will assist with statistical reporting, distribution of communications materials, archival organization, and general game-night execution to support the day-to-day needs of the ...

CA$30/hr

Under the direction of the immediate supervisor, Kiwon Lee, the Learning Assistants may perform ... Advanced Statistics: Preferably graduate students in Statistics. * Data Science in Python/R:

New

CA$30/hr

Under the direction of the immediate supervisor, Kiwon Lee, the Learning Assistants may perform ... Advanced Statistics: Preferably graduate students in Statistics. * Data Science in Python/R:

ACCOUNTING ASSISTANT 2

Toronto, ON

CA$42.28 - CA$46.31/hr

Reporting to the Senior Business and Financial Analyst the Accounting Assistant 2 performs ... Prepares financial statements and statistical data reports i.e., divisional capital and current ...

Department of Mathematics and Statistics Tenure-track position in Number Theory The Department of Mathematics and Statistics at McGill University invites applications for a tenure-track position in ...

Department of Mathematics and Statistics Tenure-track position in Number Theory The Department of Mathematics and Statistics at McGill University invites applications for a tenure-track position in ...

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Statistics Assistant information

What does a statistics assistant do?

A Statistics Assistant supports statisticians and researchers by collecting, organizing, and analyzing data. They help prepare reports, create charts or graphs, and may assist with data entry and quality control tasks. Their work ensures that the data used in statistical analyses is accurate and well-organized, allowing researchers to draw meaningful conclusions. Statistics Assistants often use statistical software and spreadsheets in their daily work.

What are the key skills and qualifications needed to thrive as a statistics assistant, and why are they important?

To thrive as a Statistics Assistant, you need a solid background in mathematics, data analysis, and statistical methods, often supported by a relevant degree or coursework. Familiarity with statistical software such as SPSS, R, or Excel, and sometimes database management systems, is typically required. Attention to detail, problem-solving abilities, and strong communication skills help you interpret data accurately and present findings clearly. These skills ensure the reliability of statistical analyses and effective support for research or business decision-making.

What are some typical challenges statistics assistants face when supporting multiple projects simultaneously?

Statistics Assistants often juggle various tasks across several projects, which can include cleaning and organizing large datasets, assisting with data analysis, and preparing reports under tight deadlines. Balancing these responsibilities requires strong organizational skills and the ability to prioritize tasks based on urgency and project requirements. Frequent communication with statisticians, researchers, and other team members is crucial to clarify assignments and ensure data accuracy. Staying adaptable and proactive in seeking clarification can help manage workload effectively and contribute to the overall success of the team.

What is the difference between Statistics Assistant vs Data Analyst?

AspectStatistics AssistantData Analyst
Required CredentialsAssociate's or Bachelor's in Statistics, Mathematics, or related fieldBachelor's or higher in Statistics, Data Science, or related field
Work EnvironmentSupportive, data-focused teams in government, research, or corporate settingsAnalytical teams in various industries, including finance, healthcare, and tech
Employer & Industry UsageGovernment agencies, research institutions, corporationsBusinesses, consulting firms, tech companies
Common Search & Comparison IntentUnderstanding entry-level roles in statisticsExploring advanced data analysis careers

While both roles involve working with data, a Statistics Assistant typically supports data collection and basic analysis, often requiring an associate's or bachelor's degree. A Data Analyst performs more complex data interpretation and reporting, often needing additional experience or skills. Both roles are essential in data-driven environments, but Data Analysts usually have broader responsibilities and higher technical expertise.

What qualifications do I need to work in statistics?

To work as a statistics assistant, a bachelor's degree in statistics, mathematics, or a related field is typically required. Strong analytical skills, proficiency in statistical software such as SPSS or R, and good communication abilities are also important. Some positions may prefer or require additional certifications or experience with data management and programming.

Where do statistics assistants work?

Statistics assistants typically work in office environments within government agencies, research institutions, or private companies. They may also work in laboratories or data centers, using statistical software and tools to analyze data and support research projects. The work often involves regular business hours and requires attention to detail and proficiency in data management.

What are the most commonly searched types of Statistics jobs in Ontario?

The most popular types of Statistics jobs in Ontario are:

What cities in Ontario are hiring for Statistics Assistant jobs?

Cities in Ontario with the most Statistics Assistant job openings:

Infographic showing various Statistics Assistant job openings in Ontario as of August 2026, with employment types broken down into 2% As Needed, 69% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Full-Time Assistant Professor at University of Toronto

Full-time

Posted 5 days ago


Job description

The University of Toronto seeks a full-time Assistant Professor in Statistical Learning Theory to commence on July 1, 2027. This role prioritizes innovative research and inclusive teaching practices.
The Department of Statistical Sciences welcomes applications for a tenure stream position. Candidates should have a PhD in relevant disciplines and demonstrate a strong research background in Statistical Learning Theory. A commitment to equity and diversity in academic settings is highly valued.
Key Responsibilities:
• Initiate innovative, independent research programs
• Engage in teaching and departmental service duties
• Ensure a respectful and inclusive working environment
Requirements:
• Earned PhD in Statistics, Data Science, or similar
• Excellent track record in Statistical Learning Theory
• Experience teaching or mentoring diverse populations
• Solid publication credentials in respected journals
• Outstanding references and teaching dossier required
Make a significant impact in education and research at the University of Toronto by applying your knowledge and dedication.
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