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Data Analyst R Programming Jobs in Manitoba (NOW HIRING)

StandardAero

Quality Analyst - Corporate

Winnipeg, MB · On-site

You will analyze quality data, drive continuous improvement initiatives, and collaborate cross ... Bachelor's degree in Engineering, Quality Assurance, or related field, or equivalent experience ...

Activate Games

Quality Assurance Analyst

Winnipeg, MB · On-site

CA$72K - CA$82K/yr

This role will involve close collaboration with software developers, game designers, graphic ... Proactively identify test environment needs and test related data requirements * Enhance the ...

Targeted Talent

Senior QA Engineer

Winnipeg, MB · Remote

We are looking for an experienced Senior QA Engineer for our client. This is a permanent position ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

Targeted Talent

Senior QA Engineer

Winnipeg, MB · Remote

We are looking for an experienced Senior QA Engineer for our client. This is a permanent position ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

ALS

Mining Process Engineer

Winnipeg, MB · Hybrid

CA$115K - CA$135K/yr

Experience with APC, data analytics, historians, and data visualisation tools (asset); * PCB design or microcontroller experience (asset). Required Qualifications: * Degree in Engineering or Computer ...

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Data Analyst R Programming information

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How much do data analyst r programming jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data analyst r programming in Manitoba is $39.49, according to ZipRecruiter salary data. Most workers in this role earn between $31.49 and $45.91 per hour, depending on experience, location, and employer.

What is a data analyst r programming?

A Data Analyst specializing in R Programming uses the R language to analyze, visualize, and interpret data to support business decisions. This role involves cleaning and transforming data, performing statistical analysis, and creating data visualizations or reports. Analysts in this field often work with databases, machine learning models, and automation tasks using R packages like dplyr, ggplot2, and tidyr. They typically collaborate with stakeholders to extract insights and communicate findings in a meaningful way.

What are typical projects or daily tasks for a data analyst r programming?

As a Data Analyst with expertise in R Programming, your typical responsibilities include cleaning and preparing large datasets, conducting statistical analyses, and creating visualizations to support business decisions. You’ll frequently use R to automate data processing workflows, generate reports, and explore insights, collaborating closely with data scientists, business analysts, and department managers. Projects may range from market trend analysis and customer segmentation to developing predictive models for operational improvements. This role often involves both independent analytical work and active participation in cross-functional meetings to present findings and recommendations.

What are the key skills and qualifications needed to thrive in the data analyst r programming position, and why are they important?

To excel as a Data Analyst R Programming, you need strong analytical abilities, proficiency in statistical analysis, and hands-on experience with R, often supported by a degree in statistics, mathematics, or a related field. Familiarity with R libraries (such as dplyr, ggplot2), databases (like SQL), and data visualization tools, as well as potential certifications in data analysis or R programming, are highly beneficial. Exceptional problem-solving skills, attention to detail, and clear communication will set you apart when interpreting data and sharing insights with stakeholders. These capabilities are essential for turning raw data into actionable business insights, ensuring data-driven decisions, and fostering collaborative project success.

What are popular job titles related to Data Analyst R Programming jobs in Manitoba?

For Data Analyst R Programming jobs in Manitoba, the most frequently searched job titles are:

What job categories do people searching Data Analyst R Programming jobs in Manitoba look for?

The top searched job categories for Data Analyst R Programming jobs in Manitoba are:

Data Analyst R Programming jobs near you
Infographic showing various Data Analyst R Programming job openings in Manitoba as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $82,141 per year, or $39.5 per hour.

Actuarial Consultant - Financial Planning & Analysis

Wawanesa Insurance

Wawanesa, MB • Hybrid

Full-time, Part-time

Retirement, PTO

Posted 14 days ago

Job description

Job ID: 10253 


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: Financial Planning & Analysis  

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. Candidates with salary expectations outside of the range are still encouraged to apply.

  • Senior Actuarial Analyst $90,000 - $110,000
  • Actuarial Consultant $105,000 - $130,000
  • Senior Actuarial Consultant $120,000 - $145,000

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

Working with a high degree of autonomy, the Actuarial Consultant, Financial Planning & Analysis contributes to the organization by enhancing the tools, models, and reporting that support Wawanesa's budgeting, forecasting, and financial planning processes. Leveraging actuarial expertise, programming skills, and business knowledge, they transform complex data into meaningful insights that enable informed decision-making across the enterprise.

The Actuarial Consultant develops and maintains scalable solutions using modern analytical and visualization tools, including R, Python, SQL, and Power BI. They collaborate with stakeholders across Finance, Actuarial, and other business areas to identify opportunities for process improvement, strengthen data-driven decision-making, and ensure planning capabilities continue to evolve in support of organizational objectives.

We are open to these levels: Senior Actuarial Analyst, Actuarial Consultant, or Senior Actuarial Consultant level.

Job Responsibilities
  • Researches, extracts, and manipulates complex data from relevant sources, and assesses data quality.
  • Supports the business and overall team by performing analyses/reviews and completing ad-hoc requests/special projects in a timely manner with minimal support from peers and leaders.
  • Evaluates procedures and processes, and recommend alternatives or improvements .
  • Evaluates existing processes to find areas for increased efficiency.
  • Identifies opportunities for automation of routine tasks and implementation of advanced techniques while ensuring ethical and responsible application of solutions.
  • Develops new approaches to problem solving and assess impacts of solution options with minimal support from leaders.
  • Identifies emerging industry trends and analyzes the impact they will have on Wawanesa.
  • Encouraged to represent Wawanesa at external events that may include universities, actuarial clubs, industry organizations, and charitable causes.
  • Commits to professional development and continuous experiential learning to build cross-functional knowledge, technical skills, and mastery in competencies.
  • Focuses learning activities on bringing new knowledge and skills to team in order to address any existing gaps.
  • Provides regular project updates to stakeholders. Anticipates obstacles and raises them in advance.
  • Leads projects from beginning to end. Includes implementation of final product. May include training and documentation of the project.
  • Actively contributes to the mentorship, training and development of actuarial analysts.
  • Provides feedback, instruction, and development guidance to help others excel in their current or future job responsibilities.
  • Builds trust and credibility with peers.
  • Develops strong working relationships across teams.
Qualifications
  • Bachelor's degree in Actuarial Science, Mathematics, Statistics, or other related discipline.
  • More than 4 years of actuarial experience an asset.
  • 7 CAS exams or ACAS designation an asset.
  • Advanced oral and written communication skills, demonstrating the ability to convey business terminology and insights that are meaningful and well received.
  • Ability to clearly document major projects and key processes.
  • Effective at comfortably communicating analysis and results to senior leaders in written and/or oral form, and influencing direct leader to accept recommendations.
  • Discusses ideas in terms familiar to colleagues in different functional areas and teaches the necessary actuarial concepts when needed.
  • Proficient with Power BI, R, Excel, SQL, R, Python and/or other related software/programming languages/actuarial software.
  • Ability to easily adapt to new enterprise system environments.
  • Ability to identify areas for improved efficiency and suggest solutions.
  • Advanced knowledge of actuarial science, mathematics, probability, statistics, principles of finance and business, and strong ability to apply this knowledge to problems in insurance.
  • Ability to develop efficient and viable solutions to problems and assess impacts of these solution options.
  • Strong attention to detail when performing analysis with minimal technical errors.
  • Ability to identify errors and areas of concern that may significantly impact analysis.
  • Ability to balance materiality/efficiency and accuracy/detail.
  • Ability to prioritize and complete multiple concurrent assignments, both individually and as a leader of a group, in a timely manner while proactively keeping leader informed of progress.
  • Develops timelines for project plans.
  • Ability to work efficiently and co-operatively in a team environment.
  • Keeps abreast of current industry and professional standards and applies them directly to requirements and decisions.

#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. 
 

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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