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Part Time Data Analytics Instructor Jobs in Ontario

Owl.co

Part-time Data Quality Analyst

Toronto, ON · Remote

CA$20/hr

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 ...

Architech

Part Time - Data Architect

Toronto, ON

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 ...

BrightPath Kids Canada

Business Analyst

Toronto, ON · Hybrid

CA$85K - CA$105K/yr

Bachelor's degree in Business Analytics, Finance, Data Analytics, Business Administration ... We offer a 40% child care discount to ALL Full-time employees & 10% to Part-time employees so that ...

BMO Financial

CA$75K - CA$141K/yr

... data, analytics, and technology capabilities. As a central organization, DnA collaborates with ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

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Part Time Data Analytics Instructor information

What is the difference between Part Time Data Analytics Instructor vs Part Time Data Science Tutor?

AspectPart Time Data Analytics InstructorPart Time Data Science Tutor
Required CredentialsBachelor's degree in Data Analytics, Statistics, or related field; teaching experience preferredBachelor's or Master's in Data Science, Computer Science, or related; tutoring experience
Work EnvironmentEducational institutions, online platforms, training centersOnline platforms, private tutoring, educational websites
Employer & Industry UsageUniversities, coding bootcamps, online course providersOnline tutoring platforms, private clients, educational companies

While both roles involve teaching data-related skills, the Part Time Data Analytics Instructor focuses on teaching analytics concepts and tools in educational settings, whereas the Part Time Data Science Tutor emphasizes personalized instruction in broader data science topics, often in one-on-one sessions.

What is a part time data analytics instructor?

Part Time Data Analytics Instructors are professionals who teach students the fundamentals and advanced concepts of data analytics, usually on a part-time basis. They create lesson plans, deliver lectures, and provide hands-on guidance in analyzing data, using tools like Excel, SQL, Python, or R. These instructors may work for colleges, universities, bootcamps, or online learning platforms, often teaching evenings or weekends to accommodate working students. Their role is essential in helping learners develop practical data analysis skills for careers in various industries.

What are the key skills and qualifications needed to thrive as a part time data analytics instructor?

To thrive as a Part Time Data Analytics Instructor, you need a solid background in data analytics, statistics, and teaching, usually demonstrated by a relevant degree and professional experience. Mastery of tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of online learning management systems, is typically required. Strong communication, patience, and the ability to engage and motivate diverse learners are critical soft skills. These competencies ensure instructors can effectively teach complex concepts, support student success, and adapt to different learning needs.

What are some common challenges faced by part time data analytics instructors, and how can they be addressed?

Part-time Data Analytics Instructors often face the challenge of balancing their teaching responsibilities with other professional or personal commitments. Managing time effectively is crucial, as is staying up-to-date with industry trends to provide relevant and engaging content. Additionally, instructors may need to adapt their teaching style to accommodate students with varying levels of experience. Building a supportive classroom environment and leveraging available resources from the institution can help address these challenges and ensure a rewarding teaching experience.
What are popular job titles related to Part Time Data Analytics Instructor jobs in Ontario? For Part Time Data Analytics Instructor jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Part Time Data Analytics Instructor jobs in Ontario look for? The top searched job categories for Part Time Data Analytics Instructor jobs in Ontario are:
Part Time Data Analytics Instructor jobs near you
Infographic showing various Part Time Data Analytics Instructor job openings in Ontario as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution.

Part-time Data Quality Analyst

Owl.co

Toronto, ON • Remote

CA$20/hr

Part-time

Re-posted 25 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.