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Part Time Data Analyst Jobs in Ontario (NOW HIRING)

As a Data Quality Analyst, you will play a pivotal role in leveraging data to ensure the integrity ... This is a remote, part-time role (15-30 hours/week). Responsibilities & Scope: * Conduct ...

You will collaborate with engineering and business peers to design data environments that enable analytics, automation, and AI-driven insight. Key Responsibilities * Architect Microsoft Fabric ...

Business Analyst

Toronto, ON · Hybrid

CA$85K - CA$105K/yr

Business Analyst, Data & Insights (Power BI) Location: Etobicoke Corporate Office (Hybrid - In ... We offer a 40% child care discount to ALL Full-time employees & 10% to Part-time employees so that ...

... part-time opportunities at any given time. We aim to provide our people with more than just a job ... Leverage NetSuite ERP to analyze financial and operational data, monitor contract performance, and ...

Part-time The Data Collection Associate is responsible for collecting and transmitting data ... These tools analyze information you provide (for example, your resume or answers to application ...

Part-time The Data Collection Associate is responsible for collecting and transmitting data ... These tools analyze information you provide (for example, your resume or answers to application ...

Personal Support Worker - Part Time

London, ON · On-site

CA$21.13 - CA$23.89/hr

If you would like more information about how your data is processed, please contact us. We are ... applications, analyzing resumes, or assessing candidate responses. These tools assist our ...

NSWOC Nurse - Part Time

Ottawa, ON

CA$35.11 - CA$39.92/hr

If you would like more information about how your data is processed, please contact us We are ... applications, analyzing resumes, or assessing candidate responses. These tools assist our ...

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Part Time Data Analyst information

What are part time data analysts?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

Is 40 too late for data science?

A part-time data analyst role typically requires skills in data manipulation, statistical analysis, and tools like Excel or SQL. Age is not a barrier; many professionals transition into data roles later in their careers by gaining relevant certifications or training. Success depends on skills, experience, and continuous learning rather than age alone.

Can you be a data analyst as a side hustle?

Yes, data analysts can pursue side projects or freelance work outside their main employment, often using skills in Excel, SQL, or data visualization tools. Managing time and maintaining confidentiality are important when working part-time or freelance as a data analyst.

Will AI replace data analysts?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking and communication that AI cannot fully replicate, so AI is more likely to augment rather than replace the profession.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Is a data analyst a part-time job?

A data analyst position can be offered as either full-time or part-time, depending on the employer and project needs. Part-time data analyst roles typically involve fewer hours per week and may require skills in data visualization, SQL, and Excel. Availability for part-time work varies by company and industry demand.

What Does a Part-Time Data Analyst Do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

What are the key skills and qualifications needed to thrive as a Part Time Data Analyst, and why are they important?

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part-time data analyst typically collaborate with full-time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.
What are the most commonly searched types of Data Analyst jobs in Ontario? The most popular types of Data Analyst jobs in Ontario are:
What are popular job titles related to Part Time Data Analyst jobs in Ontario? For Part Time Data Analyst jobs in Ontario, the most frequently searched job titles are:
What cities in Ontario are hiring for Part Time Data Analyst jobs? Cities in Ontario with the most Part Time Data Analyst job openings:
Infographic showing various Part Time Data Analyst job openings in Ontario as of July 2026, with employment types broken down into 73% Full Time, 3% Part Time, and 24% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution.

Part-time Data Quality Analyst

Owl.co

Toronto, ON • Remote

CA$20/hr

Part-time

Re-posted 21 days ago


Job description

We’re building applied AI systems for high‑stakes, real‑world decisions. Our platform ingests and reasons over large, messy data to surface evidence with hard constraints around fairness, auditability, and low bias.

The single gnarliest, most impact‑heavy place this problem shows up is in insurance claims, so that’s where we’re deployed today, running in production at some of the largest carriers in North America.

As a Data Quality Analyst, you will play a pivotal role in leveraging data to ensure the integrity and accuracy of insurance claims processing. Pulling from open data sources, you will support our clients in monitoring, detecting, and preventing potential illegitimate claims.

This is a remote, part-time role (15-30 hours/week).

Responsibilities & Scope:

  • Conduct investigations utilizing open data sources and in partnership with Owl’s AI.

  • Ensure findings are inputted logically, leveraging our internal platform to guide the process.

  • Analyze external claimant data for quality, completeness, and accuracy.

  • Efficiently utilize time and resources to deliver high-quality results that maximize value for the company.

  • Maintain the security and confidentiality of sensitive information.

  • Operate within company security and disclosure guidelines.

Requirements:

  • Must be available to work at least 15 hours/week.

  • Previous experience in open-source content research.

  • Ability to work independently in a remote environment.

  • Strong written and verbal communication skills for documenting research findings effectively.

  • Very comfortable on the computer - ability to type quickly, utilize various search functions and keyboard shortcuts.

  • Analytical thinker with the ability to exercise creative problem-solving during investigations.

  • Ability to adapt quickly to evolving technologies and system processes.

  • Due to the remote nature of this role, secure & reliable internet connection is critical to be considered.

Benefits:

The compensation for this role is $20.00 per hour.

  • Bring your friends on board! Help grow our team of top performers and receive a cash bonus through our uncapped, generous Employee Referral Program.