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Data Analyst R Programming Jobs in Manitoba (NOW HIRING)

Perform data analysis of ATE and bench characterization results across PVT variations, including ATE-to-bench correlation studies and process capability analysis, with guidance from senior engineers

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 ...

Experience with Azure DevOps, Microsoft Office, Visual Studio * Experience with pension plan and ... Detailed oriented, analytical and problem-solving aptitude * Proactive, strong-minded, quick ...

Data and manufacturing performance metrics analysis * Consumer Products or Process Industry ... General Engineering Principles knowledge * Demonstrated leadership and working in a highly ...

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 ...

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 ...

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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$12

$39

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

As of Jul 8, 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 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 is a Data Analyst R Programming job?

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 specializing in 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 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:
Infographic showing various Data Analyst R Programming job openings in Manitoba as of July 2026, with employment types broken down into 4% Internship, 92% Full Time, and 4% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,141 per year, or $39.5 per hour.

Actuarial Analyst I or II, or Senior - Valuation

The Manitoba Public Insurance Corporation

Winnipeg, MB • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 10 days ago


Job description

Overview

The Actuarial Analyst I / Actuarial Analyst II / Senior Actuarial Analyst conducts analyses on reserving, claims and revenue forecasting, stochastic modelling, budget variance and other actuarial analyses on as needed basis. The Actuarial Analyst will also collaborate with staff from other areas such as Pricing, Reinsurance, Valuation, Underwriting, Capital Management, Enterprise Risk Management, Investments, Finance, Actuarial Forecasting and Customer & Product Value to work on joint tasks and projects. The Actuarial Analyst must maintain confidentiality due to the extensive impact throughout the corporation and the public.                                                                 

The Actuarial Analyst will have access to corporation's Actuarial Development Program (ADP) and ongoing successful completion of actuarial exams or modules is required to remain in the program. Although the Actuarial Analyst may be recruited into a single area at the onset, they will also have an opportunity to rotate into other actuarial areas in the company.

The Actuarial Analyst is expected to take full ownership of certain tasks and deliverables, communicate results to senior management.

Responsibilities
  • Acquire the underlying claims and exposure data from the corporation's Enterprise Data Warehouse and other databases.
  • Liaise with applicable departments and forecasting committees to acquire required business knowledge.
  • Perform complex actuarial analyses and stochastic modelling using actuarial and/or statistical tools, techniques, and software.
  • Conducts quarterly valuations of policy liabilities and monthly monitoring of actuarial reserves.
  • Prepares the annual review of policy liabilities for the Appointed Actuary, and the relevant sections of the corporation's Annual Financial Statement.
  • Monitors reserves periodically to ensure reserve adequacy and adherence to appropriate guidelines.
  • Liaise with Financial Planning & Analysis to explain budget variance for Claims including discounting and risk adjustments.
  • Assist in preparing presentations for internal or external stakeholders.
  • Participate in specialized research projects.
  • Prepare the relevant sections of the corporation's annual General Rate Application and respond to questions from the Regulator and interveners.
Qualifications

Education & Experience:

  • Post-Secondary degree with an Actuarial Science, Mathematics, or Statistics Major.

Actuarial Analyst I:

  • Successful completion of a minimum of two actuarial exams or modules as outlined in the ADP policy.
  • Experience in an actuarial or mathematical environment is an asset.

Actuarial Analyst II:

  • Successful completion of a minimum of three additional actuarial exams or modules as outlined in the ADP policy.
  • Two years of experience in an actuarial environment.
  • Experience in providing guidance and constructive feedback to peers.

Senior Actuarial Analyst:

  • ACIA designation.
  • Five years of experience in an actuarial environment.
  • Experience in providing guidance, constructive feedback and mentorship to peers.
  • Experience in presenting analysis and findings to leadership.

Technical Knowledge and Skills:

  • Advanced Microsoft Excel and VBA skills.
  • Working knowledge of PowerBI, R, SQL, and Python would be considered an asset.
  • Intermediate/Advanced analytical skills to present results in comprehensive report.
  • Strong communication skills to present information effectively to various audiences.
  • Interpersonal skills to work effectively as part of a team and coordinate with other departments.
  • Work with accuracy and attention to detail.
  • Work independently and under pressure in a fast-paced environment.
Conditions of Employment
  • Commit to ongoing successful completion of actuarial exams and courses as required to remain in the ADP.
    • Employees of the ADP are required to write one exam per year and shall not fail three consecutive exam attempts.
  • Commit to pursue the Fellowship level -Fellow of Canadian Institute of Actuaries (FCIA) as per the ADP.
Employee Benefits

Health benefits

We offer a comprehensive health benefits program that includes:

  • flexible health, dental and vision plans
  • health spending account
  • travel health coverage
  • other extended health benefits such as ambulance, massage and physiotherapy

Financial security

In an effort to support financial security, we offer:

  • registered pension plan
  • group, dependent, and optional life insurance coverage
  • sick leave to cover short-term disability
  • long-term disability

Wellness

We offer programs that focus on how to better achieve a balance between work and personal commitments, as well as maintain a healthy workplace culture. This includes:

  • vacation entitlement
  • maternity, parental and adoptive leaves
  • bereavement and family responsibility leaves
  • employee and family assistance program
  • mental-health programming
  • onsite employee gym facility (Cityplace)
  • discounted gym memberships
  • wellness account

Diversity and inclusion

Manitoba Public Insurance believes that diversity and inclusion strengthens us. We consider ourselves to be a barrier-free organization where individual values, beliefs and practices are respected and appreciated for the diversity they bring to our work life.

Employee recognition

It's important to recognize our employees for their contributions. Not only do we recognize employees as they achieve milestone years in their careers, we also have several outlets for leaders and peers to reward each other for work well done.

Professional development

We want our employees to grow, which is why we offer support in keeping their skills up to date. We offer in-house training, professional development and an educational assistance program.

Safety and health

In an effort to encourage a safe and healthy work environment, we offer various safety, health and workplace policies and programs along with technical expertise and assistance to support employee activities in safety and health.

Employment Type: FULL_TIME