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Part Time Data Analyst Intern Jobs in Manitoba (NOW HIRING)

Solutions Architect

Winnipeg, MB ยท On-site

CA$119K - CA$169K/yr

  • Medical

  • Dental

  • Life

  • Retirement

Familiarity with Salesforce, data lakes, analytics platforms, and policy administration systems is ... Here's what you can expect as a full-time or part-time permanent team member: * Career Development

Organizational Design Manager

Winnipeg, MB ยท Hybrid

CA$120K - CA$145K/yr

  • Retirement

  • PTO

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... Create and maintain workforce analytics tools and frameworks to support ongoing organizational ...

Administrator - SecurTek Customer Support

Winnipeg, MB

CA$26.35 - CA$31.28/hr

  • Medical

  • Dental

  • Retirement

  • PTO

Casual Part-Time Closing Date: 08/21/2026 . GENERAL ACCOUNTABILITY Responsible for interpreting and ... Responsible for accurate data entry and completing internal processes/procedures to ensure delivery ...

Showing results 41-60

Part Time Data Analyst Intern information

See Manitoba salary details

$7

$23

$49

How much do part time data analyst intern jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for part time data analyst intern in Manitoba is $23.11, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $25.72 per hour, depending on experience, location, and employer.

What does a part time data analyst intern do?

A Part Time Data Analyst Intern assists with gathering, cleaning, and analyzing data to help organizations make informed decisions. They typically work on specific projects, using software tools like Excel, SQL, or Python to interpret data trends and create visualizations or reports. Interns often collaborate with other team members, learn essential analytical skills, and gain hands-on experience in data-driven environments while balancing their internship with other commitments, such as school.

What are the key skills and qualifications needed to thrive as a part time data analyst intern, and why are they important?

To thrive as a Part Time Data Analyst Intern, you need foundational knowledge of statistics, data analysis, and proficiency in Excel or similar spreadsheet tools, often supported by coursework or a degree in a related field. Familiarity with data visualization tools like Tableau, and programming languages such as Python or R, is commonly expected. Strong attention to detail, effective communication, and a willingness to learn help interns stand out in this position. These skills are vital for accurately interpreting data, presenting insights, and contributing to informed decision-making within a team environment.

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

Part Time Data Analyst Interns often face the challenge of balancing multiple responsibilities, such as coursework and internship tasks, while adapting to new data tools and workflows. Limited working hours can make it difficult to immerse fully in projects, so effective time management and proactive communication with supervisors are essential. Interns can address these challenges by setting clear priorities, seeking feedback regularly, and leveraging available resources like mentor guidance or training modules to quickly build proficiency and contribute meaningfully to the team.

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

AspectPart Time Data Analyst InternPart Time Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in data analysis, statistics, or related fieldUsually holds a degree or equivalent experience in data analysis, statistics, or related field
Work EnvironmentInternship setting, often in educational or entry-level roles, with mentorshipProfessional environment with more independent responsibilities
Employer & Industry UsageInternships offered by companies across industries for skill developmentFull or part-time roles in various industries requiring ongoing data analysis

The main difference is that a Part Time Data Analyst Intern is typically a student or recent graduate gaining experience, while a Part Time Data Analyst is a more experienced professional performing ongoing data analysis tasks.

What job categories do people searching Part Time Data Analyst Intern jobs in Manitoba look for?

The top searched job categories for Part Time Data Analyst Intern jobs in Manitoba are:

What cities in Manitoba are hiring for Part Time Data Analyst Intern jobs?

Cities in Manitoba with the most Part Time Data Analyst Intern job openings:

Manager, Actuarial Pricing - National Initiatives

Wawanesa Insurance

Winnipeg, MB โ€ข Hybrid

CA$130K - CA$160K/yr

Full-time, Part-time

Retirement, PTO

Posted 25 days ago


Job description

Job ID:ย 10209ย 


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.ย 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.ย 

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.ย 
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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.ย 
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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: $130,000 - $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

Wawanesa is looking for an exceptional candidate to take on the role of Manager, Actuarial Pricing - National Initiatives within our Pricing Excellence team. The National Initiatives team plays a critical role in shaping Wawanesa's pricing strategy by delivering actionable indication analyses, advancing pricing methodologies, and supporting national pricing initiatives. The team partners closely with Pricing, Product, Claims, Corporate Actuarial, and data teams to influence strategic decisions that impact profitability, growth, and our member experience.

Job Responsibilities
  • Provide leadership in development and maintenance of personal lines indications, inclusive of soliciting input from multiple areas of the company.
  • This includes understanding and applying complex internal and external market and business factors and explaining them to a variety of audiences.
  • Provide thought leadership on indication methodology and pricing strategy, influencing key business decisions through data-driven insights and recommendations.
  • Remain up to date on current accepted methodologies and review opportunities for methodology improvements to continuously enhance our process to create best-estimate pricing indications.ย 
  • Ensure procedures are in place to utilize all valuable data necessary for the indication process and verify its availability, completeness and accuracy.
  • Support the strategic data priorities of the pricing team, collaborating with other data partners such as Data Management to develop solutions.
  • Ensure applicable regulations related to the filing of indications for the auto products are appropriately considered.
  • Collaborate with Personal Pricing and Product teams to coordinate timely and efficient implementation of national projects and initiatives.
  • Support the pricing teams in the implementation of optimized refinements to current pricing algorithms and ratemaking methodologies as appropriate to meet the organizational objectives.
  • Manage performance of direct reports inclusive of providing professional and technical guidance and provide regular performance reviews.
  • Develop and mentor a high-performing team of actuarial professionals by fostering technical excellence, career development, collaboration, and continuous improvement.
  • Play an active role in the interpretation of data and statistical studies in the pricing area.
  • Perform other duties as assigned, handling special projects as assigned by Director, Pricing Excellence.
Qualifications
  • Undergraduate university degree in Actuarial Mathematics, Statistics, Mathematics or other related field of study.
  • Fellow of the Casualty Actuarial Society an asset.
  • Extensive knowledge and experience with pricing indications and the complexities of the steps in the process to create them.
  • Experience leading complex initiatives that require alignment across multiple teams and business functions.
  • Knowledge of P&C insurance industry and insurance operations in general.
  • Excellent communication skills both written and verbal.
  • Experience leading, coaching, and developing actuarial professionals.
  • Excellent analytical and problem-solving skills with the ability to understand context and its impact on all issues.
  • Identifies when something needs to be done and proactively initiates action as required.
  • Adapts to change effectively.
  • Develops and implements comprehensive plans that bridge complex issues and span across time.
  • Strong leadership skills with the ability to develop and communicate a vision.

#LI-AF1 #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.ย 
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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.
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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. ย 
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