NOC 12113 · TEER Level 2

Statistical officers and related research support occupations

Statistical officers and workers in related research support occupations provide statistical and research support services to a wide range of businesses and organizations. These workers conduct statistical routines, monitor trends, compile data and prepare charts, graphs, summaries and reports in support of organizational information needs and research activities.

Also known as:psychology research assistant (except university)research assistant (except post-secondary)research assistant - generalist (except university)research support officersocial research assistant (except university)social science research assistant (except university)Bioinformatics AnalystBioinformatics Research TechnicianBioinformatics SpecialistBioinformatics TechnicianBiometrics TechnicianBiotechnicianData AnalystData Technician
trending_up

Moderate

Market Demand

school

TEER 2

Skill Level

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NS, AB, BC

Top Provinces

What They Do

  • Compile tables, charts, graphs and summarized statistics for integration in research papers and reports
  • Process data using statistical software to conduct basic analyses of trends in support of research activities
  • Collect, consolidate, cross-tabulate and format data from various sources to prepare draft reports for review by supervisors or researchers
  • Assist in collection and tracking of data from monitored use of services and provide information to management and client groups
  • May prepare technical documents and monitoring reports on volumetrics and other trend analyses
  • May supervise statistical and research support workers.

Qualifications

  • checkCompletion of secondary school is required.
  • checkA college diploma or undergraduate degree in a social science, commerce, statistics or a related field is usually required.

Market Outlook by Province

NS

Nova Scotia

The employment outlook will be Moderate for statistical officers and related research support occupations (NOC 12113) in Nova Scotia for the 2025-2027 period.The following factors contributed to this outlook:Employment growth will lead to a few new positions.A moderate number of positions will become available due to retirements.There are a small number of unemployed workers with recent experience in this occupation.Here are some key facts about statistical officers and related research support occupations in Nova Scotia: Approximately 100 people worked in this occupation in May 2021. Statistical officers and related research support occupations mainly work in the following sectors: Provincial and territorial public administration (NAICS 912): 19%Other professional, scientific and technical services (NAICS 5414, 5416-5419): 18%Computer systems design services (NAICS 5415): 17%Federal government public administration (NAICS 911): 15%Universities (NAICS 6113): 15% The distribution of full-time and part-time workers in this occupation is:Full-time workers: 81% compared to 82% for all occupationsPart-time workers: 19% compared to 18% for all occupations62% of statistical officers and related research support occupations work all year, while 38% work only part of the year, compared to 62% and 38% respectively among all occupations. Those who worked only part of the year did so for an average of 42 weeks compared to 42 weeks for all occupations.The gender distribution of people in this occupation is: Men: 30% compared to 51% for all occupations Women: 70% compared to 49% for all occupations The educational attainment of workers in this occupation is: no high school diploma: n/a high school diploma or equivalent: 17% compared to 27% for all occupations apprenticeship or trades certificate or diploma: n/a college certificate or diploma or university certificate below bachelor's: 8% compared to 22% for all occupations bachelor's degree: 42% compared to 20% for all occupations university certificate, degree or diploma above bachelor level: 28% compared to 10% for all occupations

Moderate

Outlook

AB

Alberta

The employment outlook will be Limited for statistical officers and related research support occupations (NOC 12113) in Alberta for the 2025-2027 period.The following factors contributed to this outlook:Employment growth will lead to a few new positions.Not many positions will become available due to retirements.There are a moderate number of unemployed workers with recent experience in this occupation.Here are some key facts about statistical officers and related research support occupations in Alberta: Approximately 500 people worked in this occupation in May 2021. Statistical officers and related research support occupations mainly work in the following sectors: Other professional, scientific and technical services (NAICS 5414, 5416-5419): 12%Oil and gas extraction (NAICS 211): 11%Computer systems design services (NAICS 5415): 9%Hospitals (NAICS 622): 8%Information and cultural industries (NAICS 51): 8% The distribution of full-time and part-time workers in this occupation is:Full-time workers: 79% compared to 80% for all occupationsPart-time workers: 21% compared to 20% for all occupations69% of statistical officers and related research support occupations work all year, while 31% work only part of the year, compared to 61% and 39% respectively among all occupations. Those who worked only part of the year did so for an average of 44 weeks compared to 42 weeks for all occupations.Less than 5% of statistical officers and related research support occupations are self-employed compared to an average of 15% for all occupations.The gender distribution of people in this occupation is: Men: 34% compared to 53% for all occupations Women: 66% compared to 47% for all occupations The educational attainment of workers in this occupation is: no high school diploma: less than 5% compared to 10% for all occupations high school diploma or equivalent: 17% compared to 28% for all occupations apprenticeship or trades certificate or diploma: less than 5% compared to 13% for all occupations college certificate or diploma or university certificate below bachelor's: 14% compared to 19% for all occupations bachelor's degree: 47% compared to 21% for all occupations university certificate, degree or diploma above bachelor level: 18% compared to 9% for all occupations

Limited

Outlook

BC

British Columbia

The employment outlook will be Limited for statistical officers and related research support occupations (NOC 12113) in British Columbia for the 2025-2027 period.The following factors contributed to this outlook:Employment growth will lead to a few new positions.Not many positions will become available due to retirements.There are a small number of unemployed workers with recent experience in this occupation.Due to the seasonal nature of this occupation, employment opportunities tend to be more favourable during the summer months.Here are some key facts about statistical officers and related research support occupations in British Columbia: Approximately 600 people worked in this occupation in May 2021. Statistical officers and related research support occupations mainly work in the following sectors: Other professional, scientific and technical services (NAICS 5414, 5416-5419): 24%Hospitals (NAICS 622): 14%Computer systems design services (NAICS 5415): 10%Federal government public administration (NAICS 911): 8%Other retail stores (NAICS 44-45, except 445): 7% The distribution of full-time and part-time workers in this occupation is:Full-time workers: 78% compared to 78% for all occupationsPart-time workers: 22% compared to 22% for all occupations59% of statistical officers and related research support occupations work all year, while 41% work only part of the year, compared to 61% and 39% respectively among all occupations. Those who worked only part of the year did so for an average of 40 weeks compared to 42 weeks for all occupations.5% of statistical officers and related research support occupations are self-employed compared to an average of 17% for all occupations.The gender distribution of people in this occupation is: Men: 42% compared to 52% for all occupations Women: 57% compared to 48% for all occupations The educational attainment of workers in this occupation is: no high school diploma: less than 5% compared to 8% for all occupations high school diploma or equivalent: 22% compared to 28% for all occupations apprenticeship or trades certificate or diploma: less than 5% compared to 13% for all occupations college certificate or diploma or university certificate below bachelor's: 11% compared to 17% for all occupations bachelor's degree: 38% compared to 22% for all occupations university certificate, degree or diploma above bachelor level: 26% compared to 12% for all occupations

Limited

Outlook

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Immigration Pathways

TEER 2 occupations require college education or apprenticeship training and qualify for Express Entry under the Federal Skilled Worker Program.

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Express Entry (FSW)

check_circleEligible for this TEER level
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Canadian Experience Class

infoMay require additional criteria
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Provincial Nominee Programs

infoMay require additional criteria

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Top Companies Hiring

Organizations with the most NOC 12113 openings right now.

Western Univ

Western University

4 active roles · London, ON

University o

University of Calgary

3 active roles · Calgary, AB

McGill Unive

McGill University

2 active roles · Montreal, QC

University o

University of British Columbia

2 active roles · Vancouver, BC

Women's Coll

Women's College Hospital

2 active roles · Toronto, ON

Canadian Red

Canadian Red Cross

2 active roles

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Core Competencies

Digital Literacy

to manage, organize and store large datasets using digital tools and software that includes databases, spreadsheets and data management systems

Reading Comprehension

to read and understand various data sources, including research papers, reports and datasets

Mathematical Reasoning and Numerical Ability

to apply techniques such as regression analysis, probability theory and hypothesis testing to derive meaningful insights from raw data

Categorization Flexibility

to organize and analyze various types of data from different sources effectively, regardless of its format or structure

Attention to Detail

to ensure calculations are correct and that the results of statistical analyses are reliable

Knowledge in Mathematics

to understand and apply various statistical methods, such as hypothesis testing, regression analysis and correlation

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