CHL: 5150H Data collection methods for research and evaluation projects Course Description: This course aims to provide students with an understanding of the application of a variety of data ...
CHL: 5150H Data collection methods for research and evaluation projects Course Description: This course aims to provide students with an understanding of the application of a variety of data ...
Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make ...
Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make ...
Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make ...
Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make ...
Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make ...
Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make ...
Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points ...
Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points ...
Data Collection and Analysis: * Develop Strategies for Effective Data Analysis and Reporting: * Design and implement data analysis methodologies, techniques, and tools. * Create custom reports and ...
Data Collection and Analysis: * Develop Strategies for Effective Data Analysis and Reporting: * Design and implement data analysis methodologies, techniques, and tools. * Create custom reports and ...
Data Analyst
CA$75K - CA$90K/yr
Identify new sources of data and develop data collection systems to improve data collection, analysis, and reporting; * Support data migrations from legacy systems into new systems such as Workday ...
Data Analyst
CA$75K - CA$90K/yr
Identify new sources of data and develop data collection systems to improve data collection, analysis, and reporting; * Support data migrations from legacy systems into new systems such as Workday ...
Senior Data Analyst
CA$80K - CA$95K/yr
Lead the collection, validation, and organization of data from multiple internal and external sources * Analyze complex datasets to identify trends, patterns, risks, gaps, and opportunities across ...
Senior Data Analyst
CA$80K - CA$95K/yr
Lead the collection, validation, and organization of data from multiple internal and external sources * Analyze complex datasets to identify trends, patterns, risks, gaps, and opportunities across ...
Senior Data Analyst
Waterloo, ON · On-site
CA$80K - CA$95K/yr
Lead the collection, validation, and organization of data from multiple internal and external sources * Analyze complex datasets to identify trends, patterns, risks, gaps, and opportunities across ...
Senior Data Analyst
Waterloo, ON · On-site
CA$80K - CA$95K/yr
Lead the collection, validation, and organization of data from multiple internal and external sources * Analyze complex datasets to identify trends, patterns, risks, gaps, and opportunities across ...
Senior Data Analyst
CA$80K - CA$95K/yr
Lead the collection, validation, and organization of data from multiple internal and external sources * Analyze complex datasets to identify trends, patterns, risks, gaps, and opportunities across ...
Senior Data Analyst
CA$80K - CA$95K/yr
Lead the collection, validation, and organization of data from multiple internal and external sources * Analyze complex datasets to identify trends, patterns, risks, gaps, and opportunities across ...
Date limite pour postuler : le 13 aout, 12h Joignez-vous à l'équipe d'EDC ! À EDC, nous aidons les entreprises canadiennes à réussir à l'étranger. Nous leur offrons les outils financiers et ...
Quick apply
Date limite pour postuler : le 13 aout, 12h Joignez-vous à l'équipe d'EDC ! À EDC, nous aidons les entreprises canadiennes à réussir à l'étranger. Nous leur offrons les outils financiers et ...
A primary focus of KBM Field Services division is Forest Resource Inventory (FRI) data collection. KBM is currently seeking Field Technicians with proven technical skills to join our Thunder Bay team ...
Quick apply
A primary focus of KBM Field Services division is Forest Resource Inventory (FRI) data collection. KBM is currently seeking Field Technicians with proven technical skills to join our Thunder Bay team ...
Date limite pour postuler : le 13 aout, 12h Joignez-vous à l'équipe d'EDC ! À EDC, nous aidons les entreprises canadiennes à réussir à l'étranger. Nous leur offrons les outils financiers et ...
Quick apply
Date limite pour postuler : le 13 aout, 12h Joignez-vous à l'équipe d'EDC ! À EDC, nous aidons les entreprises canadiennes à réussir à l'étranger. Nous leur offrons les outils financiers et ...
Field Surveyor
Toronto, ON · On-site
Company Description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make ...
Field Surveyor
Toronto, ON · On-site
Company Description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make ...
Data Analyst
Toronto, ON · On-site
Design and implement instrumentation for data collection and analysis. * Conduct experiments to test hypotheses and validate data models. * Analyze experimental results and provide actionable ...
Data Analyst
Toronto, ON · On-site
Design and implement instrumentation for data collection and analysis. * Conduct experiments to test hypotheses and validate data models. * Analyze experimental results and provide actionable ...
Improve data collection procedures and pipelines. Perform data profiling and exploration to ensure the integrity of data. * Productionalize data models with feedback loop to automate the refinement ...
Quick apply
Improve data collection procedures and pipelines. Perform data profiling and exploration to ensure the integrity of data. * Productionalize data models with feedback loop to automate the refinement ...
Data entry and QA/QC * Prepare and print data collection forms * Inventory data collection forms and maintain records * Make back-up copies of data collection forms * Enter data from forms and ...
Data entry and QA/QC * Prepare and print data collection forms * Inventory data collection forms and maintain records * Make back-up copies of data collection forms * Enter data from forms and ...
CA$94K - CA$113K/yr
Improve data collection procedures and pipelines. Perform data profiling and exploration to ensure the integrity of data. * Productionalize data models with feedback loop to automate the refinement ...
CA$94K - CA$113K/yr
Improve data collection procedures and pipelines. Perform data profiling and exploration to ensure the integrity of data. * Productionalize data models with feedback loop to automate the refinement ...
Data Scientist
Ottawa, ON · On-site
Data collection, analysis and reporting. Preferred Technical Skills: * MLOps (e.g., Kubeflow); * Distributed Computing (e.g., Coud, Docker, Kubernetes, Dask); * Software Unit Testing (e.g., Python ...
Quick apply
Data Scientist
Ottawa, ON · On-site
Data collection, analysis and reporting. Preferred Technical Skills: * MLOps (e.g., Kubeflow); * Distributed Computing (e.g., Coud, Docker, Kubernetes, Dask); * Software Unit Testing (e.g., Python ...
Undertake initiatives to enhance data collection, integration, and analysis capabilities. * Generate routine reporting, scorecards, and interactive dashboards (including weekly, monthly, quarterly ...
Undertake initiatives to enhance data collection, integration, and analysis capabilities. * Generate routine reporting, scorecards, and interactive dashboards (including weekly, monthly, quarterly ...
Data Collection information
What is the difference between Data Collection vs Data Analyst?
| Aspect | Data Collection | Data Analyst |
|---|---|---|
| Required Credentials | High school diploma or equivalent; some roles may require certifications in data tools | Bachelor's degree in data science, statistics, or related field; certifications like SQL or Python often preferred |
| Work Environment | Fieldwork, surveys, online data gathering, or office-based data entry | Office setting, analyzing data sets, creating reports |
| Employer & Industry Usage | Research firms, marketing agencies, government agencies | Tech companies, finance, healthcare, consulting firms |
| Common Search & Comparison Intent | Understanding data collection methods and roles | Analyzing data to derive insights and support decision-making |
Data Collection involves gathering raw data through various methods, while Data Analysts interpret and analyze that data to generate insights. Both roles are essential in data-driven industries but focus on different stages of the data process.
How much money do data collectors make?
Data collectors typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the data collection tasks. Some positions may offer higher pay for specialized skills or remote work opportunities.
Is data collection a good job?
Data collection jobs involve gathering information for research, marketing, or analysis purposes and often require attention to detail and basic technical skills. These roles can be part-time or full-time, with varying pay and job stability depending on the industry and employer. They are suitable for individuals interested in data, research, and working with digital tools or surveys.
What are the key skills and qualifications needed to thrive as a data collection specialist?
To thrive as a Data Collection Specialist, you need strong analytical abilities, attention to detail, and a background in statistics or data management, often supported by a relevant degree or coursework. Familiarity with data collection tools like survey platforms, Excel, and database management systems, as well as knowledge of data privacy regulations, is essential. Strong organizational skills, clear communication, and adaptability help ensure accuracy and efficiency in gathering and recording data. These skills are crucial for collecting reliable data that supports informed decision-making and organizational objectives.
What are some common challenges faced by professionals in data collection roles, and how can they be overcome?
Data collection professionals often encounter challenges such as ensuring data accuracy, managing large volumes of data, and maintaining data privacy. Inaccurate or incomplete data can compromise analysis, so attention to detail and robust validation processes are essential. Additionally, collaborating closely with other team members, such as analysts and IT staff, helps streamline workflows and troubleshoot issues quickly. Staying updated on best practices and using reliable tools can further improve efficiency and data quality.
What is data collection?
Data collection is the process of gathering and measuring information on targeted variables in a systematic way to answer research questions, test hypotheses, or evaluate outcomes. It is a critical first step in research, analytics, and decision-making, ensuring that the data collected is accurate, reliable, and relevant. Data collection can be done through various methods, including surveys, interviews, observations, or digital tools, depending on the objectives and resources available. Proper data collection enables organizations and researchers to make informed decisions based on evidence and trends.
What are the most commonly searched types of Data Collection jobs in Ontario? The most popular types of Data Collection jobs in Ontario are:
What are popular job titles related to Data Collection jobs in Ontario? For Data Collection jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Collection jobs in Ontario look for? The top searched job categories for Data Collection jobs in Ontario are:
Sessional Lecturer: CHL5150H Data Collection Methods for Research and Evaluation Projects
Toronto, ON
CA$11K/mo
Other
PTO
Posted 15 days ago
Job description
Date Posted: 07/20/2026
Req ID: 49491
Faculty/Division: Dalla Lana School of Public Health
Department: Dalla Lana School of Public Health
Campus: St. George (Downtown Toronto)
SESSIONAL LECTURER for Fall 2026 Term, at .5 FCE - CUPE 3902 Unit 3
Course# & Course Title: CHL: 5150H Data collection methods for research and evaluation projects
Course Description:
This course aims to provide students with an understanding of the application of a variety of data collection and generation methods to diverse public health problems, challenges and issues. Throughout the course, students are expected to complete the readings, participate in class presentations and discussions
Course Learning Objectives: Upon completion of the course, students will be able to:
Select when and how to use different methods of sampling and recruitment
Critically assess the relative benefits and weaknesses of each data collection and generation method
Consider when and how to implement an explicit community-based and social justice approach to research
Develop data collection and generation implementation processes and anticipate/solve problems
Identify ethical issues related to each data method
Critically assess threats to validity and credibility and anticipate how these can be addressed
As part of a group, design and implement a data collection or generation method
Prepare a project management plan.
Estimated course enrolment: 30
Estimated TA support: none
Class Schedule: Fall 2026
Sessional dates: September to December 2026
Salary: $9,997.48 (Sessional Lecturer I)
$10,699.22 (Sessional Lecturer I Long Term)
$10,699.22 (Sessional Lecturer II)
$10,953.96 (Sessional Lecturer II Long Term)
$10,953.96 (Sessional Lecturer III)
$11,228.90 (Sessional Lecturer III Long Term)
(Salary inclusive of 4% or 6% vacation pay, where applicable)
Please note that should rates stipulated in the Collective Agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.
Minimum Qualifications:
PhD in relevant area of study, detailed knowledge of and field experience of implementing the following data collection/generation methods used in the social sciences: face to face/telephone/online surveys; focus group discussions; diaries; photovoice/cellphilm; observation; and concept mapping. For each of the data collection/generation methods, detailed knowledge of the participant recruitment methods; sampling principles and methods; community-based research and social justice principles; rigour/credibility; research ethics issues and challenges; data management methods; and project management principles.
Description of duties: As well as normal in person teaching duties, the instructor will review and revise the course syllabus, plan lectures and other learning activities; plan and evaluate student assignments; mentor students and support learning, and communicate with the MPH program director as necessary.
Application Process:
All individuals interested in this position must submit, via email, a Curriculum Vitae, and the CUPE 3902 Unit 3 application form (PDF or RTF, also available at https://uoft.me/CUPE-3902-Unit-3-Application-Form), to:
c/o Christine Lowe
Dalla Lana School of Public Health
University of Toronto
Email: christine.lowe@utoronto.ca
Closing Date: 08/07/2026, 11:59PM EDT
**
This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.
It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.
Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.
Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.