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Part Time Data Analytics Instructor Jobs in Ontario

CA$70K - CA$150K/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 ...

Senior Architect - Data & AI

Toronto, ON ยท Hybrid

CA$115K - CA$160K/yr

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... Design and optimize cloud analytics solutions including data lakes, MLOps pipelines, automation ...

Senior Architect - Data & AI

Kitchener, ON ยท Hybrid

CA$115K - CA$160K/yr

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... Design and optimize cloud analytics solutions including data lakes, MLOps pipelines, automation ...

Senior Architect - Data & AI

Ottawa, ON ยท Hybrid

CA$115K - CA$160K/yr

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... Design and optimize cloud analytics solutions including data lakes, MLOps pipelines, automation ...

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 ...

Showing results 21-40

Part Time Data Analytics Instructor information

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 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 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:

Infographic showing various Part Time Data Analytics Instructor job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Analyst, Credit Risk Strategy Oversight

BMO Capital Markets

Toronto, ON โ€ข On-site

CA$56K - CA$103K/yr

Full-time, Part-time

Medical, Life, Retirement

Re-posted 14 days ago


Key responsibilities

  • Support independent assessments of credit proposals, strategy updates, segmentation approaches, and ML-enabled decisioning.

  • Conduct analyses on assumptions, data quality, performance monitoring, and portfolio impacts; identify issues and recommend escalation where appropriate.

  • Perform deep-dive analytics on trends, concentrations, and emerging risks to support forward-looking portfolio assessments.


Job description

Application Deadline:

09/20/2026

Address:

33 Dundas Street West

Job Family Group:

Audit, Risk & Compliance

Join a purposedriven team at the centre of BMO's risk management ecosystem. As a Senior Analyst, Credit Risk Strategy Oversight, you will contribute analytical depth, structured review, and developing independent challenge across Canadian Retail lending business. Operating in the second line, you will apply sound judgment and strong analytical capabilities to support the identification, assessment, and communication of nonroutine credit risk issues enhancing decision quality, transparency, and alignment to risk appetite, regulatory expectations, and governance standards. Your focus will be on business/group priorities, with opportunities to contribute to enterprise initiatives as your experience grows.

Key Responsibilities

Independent Risk Oversight & Analytical Review

  • Support independent assessments of credit proposals, strategy updates, segmentation approaches, and MLenabled decisioning.
  • Conduct analyses on assumptions, data quality, performance monitoring, and portfolio impacts; identify issues and recommend escalation where appropriate.
  • Contribute to the preparation of clear, concise secondline commentary, summaries, and risk insights for committees and senior leadership.

Portfolio Risk Insight & Stress Testing Support

  • Execute components of regulatory capital and stresstesting analysis, including data preparation, scenario interpretation, and variable review.
  • Perform deepdive analytics on trends, concentrations, and emerging risks to support forwardlooking portfolio assessments.
  • Prepare analytical summaries and visualizations that translate complex findings into decisionready insights.

CrossFunctional Collaboration

  • Provide analytical support to partners in Credit, Product, Finance, Operations, and Data/Analytics, ensuring risk considerations are appropriately incorporated.
  • Assist in preparing materials that distill complex technical analysis into clear, simple narratives suitable for nontechnical audiences.
  • Participate in crossfunctional discussions to ensure alignment with governance, data quality, and control expectations.

Credit Governance & Policy Support

  • Support maintenance of credit governance documents, tracking requirements, and ensuring documentation accuracy and completeness.
  • Assist in monitoring adherence to credit policies, standards, and Regulatory Compliance Management (RCM) requirements.
  • Help coordinate supporting materials for oversight reviews, audits, examinations, and controlrelated activities.

Judgment, Independence & Continuous Improvement

  • Work independently on assigned analytical tasks and nonroutine issues within established guidelines and frameworks.
  • Identify opportunities to improve processes, documentation consistency, and reporting accuracy.
  • Take ownership of assigned workstreams, with broader responsibilities assigned as experience and business needs evolve.

Qualifications

  • Typically 4-6 years in lending, credit risk, analytics, portfolio management, or related functions within a financial institution.
  • Postsecondary degree in Finance, Economics, Statistics, Mathematics, Engineering, or a related field or an equivalent combination of education and experience.
  • Applied analytics experience with Python, SQL, SAS, R, or similar tools; demonstrated ability to synthesize complex analysis into clear, decisionready narratives and visuals.
  • Working understanding of banking, credit risk concepts, and portfolio analytics gained through education and handson experience.
  • Datadriven decision making
  • Basic understanding of compliance and regulatory expectations
  • Machinelearning awareness (bias, overfitting, explainability basics)

What We Offer

  • A highimpact secondline role with visibility across priority businesses and exposure to enterprise initiatives.
  • Opportunities to meaningfully strengthen credit oversight, decision quality, and portfolio resilience.
  • A culture that values integrity, inclusion, innovation, and high performance.
  • Access to senior leaders, crossfunctional partners, and complex challenges that support ongoing career growth.

Salary:

$56,000.00 - $103,500.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.