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Data Collection Jobs in Ontario (NOW HIRING)

As a Retail Merchandiser with SPAR Canada, you'll be responsible for maintaining store displays, plan-o-grams, stocking levels, audits, data collection, and will vary depending on the location that ...

As a Retail Merchandiser with SPAR Canada, you'll be responsible for maintaining store displays, plan-o-grams, stocking levels, audits, data collection, and will vary depending on the location that ...

Store Merchandiser

Fort Frances, ON ยท On-site

CA$25/hr

As a Retail Merchandiser with SPAR Canada, you'll be responsible for maintaining store displays, plan-o-grams, stocking levels, audits, data collection, and will vary depending on the location that ...

As a Retail Merchandiser with SPAR Canada, you'll be responsible for maintaining store displays, plan-o-grams, stocking levels, audits, data collection, and will vary depending on the location that ...

Showing results 41-60

Data Collection information

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 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 the difference between Data Collection vs Data Analyst?

AspectData CollectionData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require certifications in data toolsBachelor's degree in data science, statistics, or related field; certifications like SQL or Python often preferred
Work EnvironmentFieldwork, surveys, online data gathering, or office-based data entryOffice setting, analyzing data sets, creating reports
Employer & Industry UsageResearch firms, marketing agencies, government agenciesTech companies, finance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding data collection methods and rolesAnalyzing 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 additional incentives or bonuses for meeting targets or working in specialized environments.

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 generally suitable for individuals interested in data, research, and working in flexible or remote environments.

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:

Infographic showing various Data Collection job openings in Ontario as of August 2026, with employment types broken down into 70% Full Time, 15% Temporary, and 15% Contract. Highlights an 100% In-person job distribution.

Senior Data Scientist, Measurement & Analytics

Starcom Mediavest Group Germany Gmbh

Toronto, ON โ€ข On-site

Full-time

Posted 25 days ago


Job description

Company Description

Saatchi & Saatchi is an advertising agency with the belief that creativity, data, media and technology should all work together, and we use that to influence human behavior and drive success for clients. S&S is one of the world's largest agency networks with 114 offices and more than 6000 employees globally. Here in our Toronto office we work with some of the countries most valued brands including Toyota, Lexus, Quesada and Mondelez just to name a few. We're an award winning agency in both creativity and effectiveness, so it's really important for us here to convert that innovation and the great ideas into real tangible business results for the organization.

Job DescriptionAbout the Role

We are seeking a Senior Data Scientist, Measurement & Analytics to lead the development of advanced measurement frameworks, reporting solutions, data infrastructure, and analytical models that support marketing and business decision-making.

This role combines data science, analytics engineering, digital measurement, cloud data architecture, and stakeholder consulting to deliver scalable analytics solutions across web, media, and customer experience initiatives. The successful candidate will transform complex datasets into actionable insights, build reporting automation, develop statistical models, and help drive measurement excellence across the organization.

ResponsibilitiesKey ResponsibilitiesMeasurement Strategy & Analytics Leadership
  • Lead the development and evolution of digital measurement frameworks and KPI strategies.
  • Establish measurement methodologies that support business objectives and performance tracking.
  • Translate business questions into analytical approaches and actionable recommendations.
  • Serve as a subject matter expert on digital measurement, attribution, and customer behavior analytics.
Data Science & Advanced Analytics
  • Develop and maintain regression models, forecasting models, attribution methodologies, and marketing performance analyses.
  • Conduct exploratory analyses to identify key business drivers, trends, and optimization opportunities.
  • Design measurement approaches for testing and experimentation initiatives.
  • Apply advanced analytical techniques to solve complex business problems and support strategic decision-making.
Analytics Engineering & Data Infrastructure
  • Design, build, and maintain scalable analytics and reporting solutions.
  • Develop automated data pipelines that integrate web, media, and business data sources.
  • Build data transformation, validation, and quality assurance processes.
  • Support the modernization and automation of analytics infrastructure and reporting workflows.
Dashboarding & Reporting
  • Lead the design and development of executive dashboards and reporting solutions.
  • Create automated scorecards and performance reporting frameworks.
  • Develop scalable data models that reduce manual reporting effort and improve consistency.
  • Partner with stakeholders to deliver meaningful and actionable reporting experiences.
Digital Analytics & Measurement Implementation
  • Own measurement architecture and tracking strategy across digital properties.
  • Lead implementation, validation, and troubleshooting of analytics and advertising technologies.
  • Ensure data collection integrity, measurement accuracy, and reporting quality.
  • Partner with internal and external teams to support analytics requirements for new initiatives and platform enhancements.
Stakeholder & Client Leadership
  • Act as a trusted advisor on analytics, reporting, and measurement strategy.
  • Present analytical findings and recommendations to senior stakeholders.
  • Collaborate with media, search, web, and technology teams to deliver integrated analytics solutions.
  • Manage multiple high-priority projects while maintaining quality and delivery standards.
QualificationsTechnical RequirementsAdvanced Expertise Required
  • Google Analytics 4 (GA4)
  • Google Tag Manager (GTM)
  • SQL
  • Python
  • BigQuery
  • Power BI or equivalent business intelligence platforms
  • Statistical analysis and modeling
  • Regression analysis
  • Forecasting and trend analysis
  • Attribution methodologies
  • Dashboard development and reporting automation
  • Data visualization and storytelling
  • Marketing and digital measurement frameworks
  • Conversion tracking and analytics implementation
Strong Working Knowledge
  • Google Cloud Platform (GCP)
  • API integrations
  • Data pipeline development
  • Cloud-based analytics architectures
  • Marketing performance analysis
  • Media measurement and attribution
  • Experimentation and testing methodologies
  • Data governance and quality assurance
Skills & CompetenciesTechnical Skills
  • Advanced analytical and quantitative problem-solving capabilities.
  • Strong data engineering and data transformation expertise.
  • Ability to work with large-scale structured and unstructured datasets.
  • Expertise in reporting automation and analytics solution development.
  • Strong data visualization and storytelling skills.
Business & Leadership Skills
  • Excellent communication and presentation skills.
  • Ability to translate complex technical concepts into business recommendations.
  • Strong stakeholder management and consulting capabilities.
  • Ability to manage multiple concurrent priorities in a fast-paced environment.
  • Strong attention to detail and commitment to data quality.
Personal Attributes
  • Self-starter with strong ownership and accountability.
  • Strategic thinker who connects analytics to business outcomes.
  • Collaborative team player who works effectively across technical and non-technical teams.
  • Continuous learner who stays current on analytics, measurement, and technology trends
Additional Information

Salary

Transparency matters to us. The salary for this position is $CAD 80,000 - 100,000 per year. Actual compensation within this range will be based on a variety of factors, including relevant experience, knowledge, skills, and applicable certifications. This range reflects what we reasonably expect to offer based on current market data.

AI Use

We use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications or analyzing resumes. These tools assist our recruitment team but never replace human decision-making. We believe in a human-first approach, where your experience and potential are recognized by people.

Saatchi is an equal opportunity employer and we welcome and encourage applications from all interested parties. Accommodations are available, upon request, for all stages of the interview and employment process for those with a disability or medical need during any stage of the recruitment process. We thank all candidates for their interest inย Publicisย Media, however, only those candidates selected for an interviewย will be contacted.ย 

Employment Type: FULL_TIME