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Part Time Data Analyst Jobs in Ontario (NOW HIRING)

Wawanesa Insurance

Senior Architect - Data & AI

Ottawa, ON · 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 ...

Wawanesa Insurance

Senior Architect - Data & AI

Toronto, ON · 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 ...

Wawanesa Insurance

Senior Financial Analyst

Toronto, ON · Hybrid

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... This role is ideal for a CPA-designated professional with a passion for data-driven decision-making ...

Dexterra

Senior Financial Analyst

Mississauga, ON · On-site

... 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 ...

CRH

Financial Analyst Student / Co-op

Oakville, ON

CA$17.90/hr

Contract, Part-time Compensation : $17.90 per Hour - 20 hours Week CRH Canada is hiring a Financial ... Ability to manipulate large data sets, demonstrate critical thinking in producing various analyses ...

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All JobsData Analyst JobsPart Time Data Analyst JobsPart Time Data Analyst Jobs in Ontario

Part Time Data Analyst information

What is a part time data analyst?

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.

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 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.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible ways to analyze data for decision-making. Skills in Excel, SQL, and data visualization tools like Tableau are valuable, and remote or flexible schedules are increasingly available in this field.
More about Part Time Data Analyst jobs

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 job categories do people searching Part Time Data Analyst jobs in Ontario look for?

The top searched job categories for Part Time Data Analyst jobs in Ontario 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:

Part Time Data Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in Ontario as of August 2026, with employment types broken down into 100% Part Time. Highlights an 86% In-person, and 14% Remote job distribution.

Senior Architect - Data & AI

Wawanesa Insurance

Kitchener, ON • Hybrid

CA$115K - CA$160K/yr

Full-time, Part-time

Retirement, PTO

Posted 28 days ago

Job description

Job ID: 10251 


Employment Type: Existing Role

Work Environment: We offer a hybrid work environment that offers flexibility to our employees in balancing in-office (2 days per week OR 15 hours per week in a Wawanesa office) and remote work. You may work from any of the following locations: Winnipeg, MB; Wawanesa, MB; Vancouver, BC; Calgary, AB; Edmonton, AB; Lethbridge, AB; Toronto (North York), ON; Kitchener, ON; Ottawa, ON; Montreal, QC; Quebec City, QC, Moncton, NB; Dartmouth; NS. 

Working Business Language: English. This role is considered a head-office role and will be required to communicate with internal stakeholders across Canada where the primary business language utilized is English.
 

Salary: At Wawanesa, salary is only one component of a holistic, comprehensive and competitive offering that we provide to our employees. In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus plan, leave of absence top-up programs and provided with generous vacation time, personal days, premium free benefits and pension plan. 
 

The salary offered for this role is determined with consideration to various factors, including but not limited to: your work location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role. The salary offered is estimated to be within the following range: $115,000 - $160,000. Candidates with salary expectations outside of the range are still encouraged to apply.

About The Wawanesa Mutual Insurance Company
Founded in 1896, The Wawanesa Mutual Insurance Company is one of Canada's largest mutual insurers, 100% owned by its members, with more than $4.1 billion in annual revenue and $12.5 billion in assets. Headquartered in Winnipeg, Wawanesa is the parent company of Wawanesa Life, which provides life insurance solutions throughout Canada, and Western Financial Group, a leading national distributor of personal and business insurance. In March of 2026, Wawanesa entered into an agreement to acquire Everest Insurance Company of Canada to strengthen its commercial insurance capabilities and advance its long-term growth strategy.


Wawanesa proudly serves more than 1.8 million members and we are home to more than 3,000 employees across Canada. The company actively gives back to organizations that strengthen communities, donating more than $4 million annually to charitable organizations, including more than $2 million each year in support of people on the front lines of climate change. Learn more at wawanesa.com.

We are currently looking for dedicated, driven, and enthusiastic individuals who thrive in an environment that welcomes change and are looking for an opportunity for diverse experience and advancement on a growing team.

Job Overview

Under moderate supervision, the Senior Architect - Data & AI, will contribute to Wawanesa's success by providing high-level architecture design of Advanced Analytics solutions and long-term technology roadmaps to meet business objectives, taking into account the existing architectural landscape including established standards and principles. The Architect drives standards, governance, and reusable patterns to enable spoke teams while ensuring solutions are implemented in alignment with solution architecture design.

Job Responsibilities
  • Develop and maintain current state architecture models and artifacts including the four key domains of architecture: Business, Application, Data, and Technology.
  • Design and optimize cloud analytics solutions including data lakes, MLOps pipelines, automation, and CI/CD. Experience designing on a modern lakehouse platform (Databricks preferred) using medallion architecture (Bronze/Silver/Gold) with Delta Lake and Unity Catalog governance is a strong asset.
  • Architect the enterprise semantic layer, including federation across BI and AI consumers, to enable consistent, governed metric definitions.
  • Define and maintain hub standards, guardrails, and governance for analytics capabilities.
  • Enable Responsible AI practices (explainability, fairness, compliance) and regulatory compliance for data and AI solutions (privacy, security, auditability).
  • Partner with business and technical teams to embed analytics services into products and workflows.
  • Gather solution architecture requirements from various sources including interviewing business and IT stakeholders, established architecture standards and principles, and reference architecture.
  • Provide architectural leadership and guidance throughout solution design and implementation, ensuring best practices, reuse of components, and alignment with target architecture.
  • Ensure architectural compliance of solutions to enterprise architecture standards and principles.
  • Design external system interface architecture, including appropriate application of techniques and standards such as service-oriented architecture, web services, etc.
  • Design external system interface architecture, including appropriate application of techniques and standards such as service-oriented architecture, web services, and modern data integration patterns (CDC, managed connectors, data sharing, and cross-cloud consumption).
  • Develop solution architecture roadmaps based on organizational business units objectives and strategies.
  • Perform other duties as assigned.
Qualifications
  • Bachelor's degree in computer science, in an analytical discipline or equivalent experience.
  • Minimum of 2 to 5 years of Information Services / Information Technology architecture experience.
  • 10 years of experience in full life cycle solution design using object-oriented analysis and design techniques, preferably in a medium-to-large enterprise environment.
  • Ability to influence across and lead changes in a complex enterprise.
  • Experience in comprehensive modeling for applications, services, systems, and data with approaches in component-based, service-oriented, model-driven manner.
  • Expert knowledge and experience with designing and delivering solutions that factor in system performance, usability, quality, cross-system interdependence, scalability and overall cost to develop and maintain.
  • Sound knowledge and experience with design patterns, service-oriented architecture, solution frameworks, technical patterns and technical services.
  • Ability to balance the long-term ("big picture") and short-term implications of individual decisions and drive actions that are consistent with long-term goals.
  • Strong business sense with the ability to translate complex business requirements into technology solutions.
  • Excellent communication, analytical, and problem-solving skills with ability to manage multiple priorities. Ability to lead others to embrace, perform effectively, and adapt quickly to change.
  • Ability to make excellent and well justified decisions in complex and high-pressure situations and coach others in decision making.
  • Knowledge of MLOps tools (MLflow, SageMaker Pipelines, feature stores) is an asset.
  • Knowledge of MLOps tools (MLflow, Databricks Model Serving / Mosaic AI, feature stores) is an asset.
  • Experience with Databricks (Unity Catalog, Delta Lake, medallion architecture) and lakehouse / data-mesh patterns is strongly preferred.
  • Knowledge and experience in the insurance industry is considered an asset.

#LI-JB3 #LI-Hybrid


Diversity Equity, Inclusion& Belonging
At Wawanesa, we are committed to Diversity, Equity, Inclusion and Belonging (DEIB) and believe that our strength lies in the diversity of our people - this is supported by having a representative workforce.

We welcome applications from all qualified candidates, including racialized persons, women, Indigenous Peoples, persons with disabilities, members of the 2SLGBTQIA+ community, gender-diverse and neurodiverse individuals, and anyone who can contribute to the further diversification of thought and ideas. 
 

We aim to ensure our recruitment process is accessible to all candidates. If you require accommodations during any stage of the recruitment process, please reach out in confidence to jobs@wawanesa.com.
 

All Wawanesa job applicants are subject to Wawanesa's Privacy Policy.

Please note that the recruitment process for this position may involve the use of AI tools to screen, assess, or select applicants. All final decisions are taken or reviewed by human recruiters and human hiring leaders in compliance with all applicable legislation.  
 

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