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Data Analyst R Programming Jobs in Ontario (NOW HIRING)

Marinabaysands

Programming skills using analytical tools such as SQL, R, Python, Base SAS, SAS EG, is required. * Proficient in data visualization tools, such as Tableau preferred. Other Prerequisites * Ability to ...

Tabby LLC

Data Analysis & Insights * Analyze large-scale datasets related to agent performance, support ... Use LLM tools with practical prompt engineering for daily analytical tasks, summarization, and ...

Sun Life Financial

Senior Data Analyst

Toronto, ON · Hybrid

A degree in mathematics, statistics, engineering, computer science, economics, or a related discipline, or equivalent practical experience. * 4+ years of experience in data analytics, business ...

Teranet

Senior Data Analyst

Toronto, ON

Bachelor's degree in quantitative fields (E.g., Statistics, Mathematics, Computer Science, Engineering) * 5+ years of experience in data, analytics, or business/data roles * Experience working with ...

U Education Management Pvt. Ltd.

Completed or pursuing a Bachelor's degree in Engineering, Business Administration, Management \n ... Data analysts are often called to present their findings, or translate the data into an ...

Sun Life Financial

Senior Data Analyst

Waterloo, ON · Hybrid

A degree in mathematics, statistics, engineering, computer science, economics, or a related discipline, or equivalent practical experience. * 4+ years of experience in data analytics, business ...

Sun Life Financial

Senior Data Analyst

Toronto, ON · Hybrid

A degree in mathematics, statistics, engineering, computer science, economics, or a related discipline, or equivalent practical experience. * 4+ years of experience in data analytics, business ...

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All JobsData Analyst R Programming JobsData Analyst R Programming Jobs in Ontario

Data Analyst R Programming information

See Ontario salary details

$12

$39

$70

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

As of Aug 20, 2026, the average hourly pay for data analyst r programming in Ontario 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 Ontario?

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

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

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

Data Analyst R Programming jobs near you
Infographic showing various Data Analyst R Programming 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, with an average salary of $82,141 per year, or $39.5 per hour.

Evaluation Lead and Data Analyst

University of Guelph

Guelph, ON • On-site

Full-time, Temporary

Posted 6 days ago

Job description

Department: Student Wellness Services
This position is represented by the agreement between the Professional Staff Association and the University of Guelph

Temporary full-time from 09/07/2026 to 09/08/2027

If you are a current employee of the University of Guelph you must apply on the internal Career Page in order to be considered as an internal applicant.

Career Opportunities (sapsf.com)

Duties and Responsibilities
Reporting to the Senior Director, Student Affairs, and working in close collaboration with the Associate Director, Student Wellness, the Evaluation Lead and Data Analyst provides leadership in evaluation, data analysis, and knowledge mobilization to support projects across Student Wellness Services. This role is an integral member of the team, contributing to strategic planning, policy development, and evidence-informed decision-making at both the departmental, directorate, and institutional level.
 
The position is responsible for compiling and analyzing large volumes of complex data from multiple systems and sources, and for translating findings into clear, accessible reports, dashboards, and other knowledge-sharing products. In addition to supporting ongoing evaluation and reporting needs, the role proactively identifies emerging trends, issues, and opportunities within student wellness and the post-secondary sector, initiating analyses to inform future planning, program design, and resource allocation.
 
The Evaluation Lead and Data Analyst provides strategic advice and recommendations to SWS and Student Affairs leadership, synthesizing complex quantitative and qualitative evidence into actionable insights that inform priorities, service planning, and policy direction. The role contributes to both internal and external reporting requirements and supports implementation planning and continuous quality improvement across Student Wellness Services and university-wide initiatives, including the President's Taskforce on Student Mental Health.
 
The position requires a strong understanding of integrated data systems and data governance practices, ensuring data quality, consistency, and appropriate use of data across sources. The role also supports survey and evaluation design using rigorous methodological approaches, and may contribute to grant development, ethics review processes, and dissemination of findings within and beyond the institution.
 
The position routinely works with sensitive and confidential data, including personal and health information, and requires a high degree of discretion, sound judgment, and compliance with applicable privacy legislation (e.g., PHIPA, FIPPA). The role operates with a high level of independence, responding to both planned and ad hoc requests, often within tight timelines.
 
Requirements
  • Master's degree in Public Health, Epidemiology, Statistics, Data Science, Program Evaluation or a related discipline.
  • 3-5 years of applied data analysis or program evaluation experience.
  • Experience working with large survey datasets, administrative data, and programlevel evaluation.
  • Excellent quantitative, analytical and problem-solving skills and an aptitude for research and analysis.
  • Ability to program and work in SAS, R, and SQL to write macros, perform queries, data analysis, etc.
  • Strong written and verbal communication skills and demonstrated experience translating technical and statistical findings into clear, actionable information for nontechnical audiences.
  • Experience in health care context, sensitive data management.

Employee Type: Temporary 
Position Number: 10927699 
Classification: P&M FT- Band 04

Professional/Managerial Salary Bands 

The target hiring salary for this position is minimum and up to 96% of midpoint for the salary grade.

*Tentative evaluation; subject to committee review.

At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution.

Posting Date:  08/17/2026  
Closing Date:  08/24/2026

Apply