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Data Analyst R Programming Jobs in Ontario (NOW HIRING)

Use SQL, Python, and R to extract, clean, transform, analyze, and prepare data for reporting, dashboards, and business analysis. * Design, develop, and implement reporting solutions using tools such ...

Data Solutions Engineer * Build and deliver end-to-end data solutions, from ingestion and ... Business Analyst (Digitisation and Automation) * Partner with stakeholders to understand challenges ...

Collaborate with data engineers to design performance analysis reports spanning rider user-experience, driver user-experience, marketing, operating efficiency, and unit economics. Review the ...

... R for analysis is a plus Familiarity with financial reporting, planning, and performance metrics Understanding of data quality, governance, and process improvement Experience working with large ...

The Sr. Data Analyst is responsible for acting as Single Family Operations' primary data analyst and report developer for Single Family Operations. This role involves collaborating closely with ...

The Sr. Data Analyst is responsible for acting as Single Family Operations' primary data analyst and report developer for Single Family Operations. This role involves collaborating closely with ...

The Sr. Data Analyst is responsible for acting as Single Family Operations' primary data analyst and report developer for Single Family Operations. This role involves collaborating closely with ...

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 ...

LiDAR Data Analyst (Co-op)

Concord, ON · On-site +1

CA$46K - CA$61K/yr

Collaborate with engineers, scientists, and software developers on technical projects ... Geospatial data processing and analysis workflows. * LiDAR and imaging sensor technologies.

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 ...

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 ...

Healthcare Research & Data Analyst

Toronto, ON · Hybrid

CA$54K - CA$68K/yr

Familiarity with additional data languages (e.g., Python, R), which would help expand analytical capabilities and improve efficiency in working with complex healthcare datasets * Exposure to or ...

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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 Sep 11, 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 the most commonly searched types of Data Analyst R Programming jobs in Ontario?

The most popular types of Data Analyst R Programming jobs in Ontario are:

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:

Infographic showing various Data Analyst R Programming job openings in Ontario as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $82,141 per year, or $39.5 per hour.

Senior Data Analyst

Waterloo, ON

CarePartners
Health Care and Social Assistance • 51 - 200 employees

CA$80K - CA$95K/yr

Full-time

Medical, Dental

Re-posted 23 days ago


Job description

Who We Are

CarePartners is one of Ontario's largest accredited home health care providers, providing nursing, personal support, therapy and rehabilitation support services for patients of all ages. We care for approximately 72,000 patients each year in homes, schools, clinics, workplaces and retirement homes, through our 24 locations and 24 nursing clinics. CarePartners is proud of its commitment to quality, relentlessly seeking to improve the patient and caregiver experience, promoting a healthy and resilient workplace culture, and contributing to a sustainable healthcare system in Ontario.

Overview

We are hiring for a Senior Data Analyst to join our team!

The Senior Data Analyst will work with key business leaders to identify, develop and deliver relevant data, reports and dashboards to support day to day, historical and future operations.

This role will enable decision-makers to make evidence-based decisions, support growth efforts, and identify threats and opportunities through generating and delivering insights and trends.

The Senior Data Analyst has a strong foundation in data analytics, critical thinking skills, and the ability to transform data into actionable insights to support strategic decision-making. The Senior Data Analyst gathers, analyses, and reports data related to the organization's core business performance metrics. This includes both internal and external metrics systems. They are responsible for ensuring data is presented in a clear and actionable manner while supporting site managers with information that assists their decision making.

What We Offer
  • This position offers a competitive compensation range. The salary range is $80,000.00 to $95,000.00, and placement within the range will be determined in accordance with company policies and procedures, as well as the candidate's knowledge, skills, qualifications, and relevant experience.
  • Comprehensive health and dental benefits
  • Other employment perks such as Employee Assistance Program, Perkopolis, Rewards Points
  • Inspiring leadership and opportunities for professional growth
  • Rewarding and meaningful work in healthcare
What The Role Involves

Data Collection & Analysis

  • Lead the collection, validation, and organization of data from multiple internal and external sources
  • Analyze complex datasets to identify trends, patterns, risks, gaps, and opportunities across business and clinical operations
  • Interpret data and translate findings into meaningful insights, recommendations, and actions for leadership and operational teams
  • Ensure data accuracy, quality, completeness, and consistency across reports, dashboards, and analytical outputs
  • Support advanced and ad hoc analysis to respond to organizational priorities, operational questions, and performance improvement needs

Reporting & Visualization

  • Lead the design, development, and maintenance of dashboards, KPI scorecards, and recurring reports using tools such as Microsoft Excel and Power BI.
  • Use SQL, Python, and R to extract, clean, transform, analyze, and prepare data for reporting, dashboards, and business analysis.
  • Design, develop, and implement reporting solutions using tools such as AlayaCare Data Exploration to support analysis and decision-making.
  • Develop and support AI-enabled tools that help identify trends, summarize data, automate reporting tasks, and support business decision-making.
  • Review and enhance existing reporting tools, templates, and dashboards to improve usability, accuracy, and alignment with business needs.
  • Provide guidance on reporting methodology, data interpretation, and appropriate use of performance indicators.

Process Improvement & Optimization

  • Assess current workflows, reporting processes, and data practices to identify inefficiencies, gaps, and opportunities for improvement.
  • Lead or support process improvement initiatives, automation efforts, and reporting enhancements that improve efficiency and data usability.
  • Apply design-thinking and user-focused approaches to improve access to data, reporting tools, and analytical insights.
  • Recommend practical solutions to improve reporting processes, reduce manual work, and strengthen consistency across analytics products.
  • Support the development of standard processes, templates, and documentation to improve reporting quality and sustainability.

Stakeholder Collaboration

  • Partner with Operations and Shared Services teams to understand data needs, define reporting requirements, and deliver meaningful analytics solutions.
  • Work closely with Regional Directors and business users to translate operational questions into clear analytical approaches and reporting outputs.
  • Communicate findings clearly to both technical and non-technical stakeholders through reports, presentations, and discussions.
  • Facilitate conversations with stakeholders to validate requirements, explain methodology, and support data-driven decision-making.
  • Promote the effective use of data, dashboards, and reporting tools across the organization.

Data Governance and Data Quality

  • Lead or support the development and maintenance of clear data definitions, business rules, data standards, and quality checks.
  • Ensure data used in reports and analysis is accurate, complete, consistent, and aligned with approved definitions and methodologies.
  • Work with cross-functional teams to identify, investigate, and resolve data quality issues.
  • Support improvements in data collection, documentation, and reporting practices to strengthen data integrity and trust.
  • Promote data governance principles, including standardized definitions, metadata documentation, privacy, security, and appropriate use of data.
  • Provide recommendations to improve data quality, reporting accuracy, and consistency across systems and business areas.
  • Other Duties and or special projects as assigned.
What You Bring
  • Degree in Data Science, Statistics, Mathematics, Computer Science, Health Informatics, or a related field, or equivalent combination of education and relevant experience.
  • Minimum 5 years of experience in a data analyst, business intelligence, analytics, or similar role, preferably within the healthcare industry.
  • Strong experience developing high-quality dashboards, reports, and data visualizations using tools such as Power BI.
  • Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, data modelling, and data analysis.
  • Strong proficiency in SQL, including writing complex queries, joining multiple data sources, and supporting data validation.
  • Experience using Python or R for statistical analysis, automation, and data visualization.
  • Strong analytical and problem-solving skills, with the ability to translate complex data into meaningful insights and recommendations.
  • Excellent written and verbal communication skills, with demonstrated experience in stakeholder engagement, requirements gathering, presenting findings, and supporting data-driven decision-making.
  • Experience partnering with cross-functional teams, including corporate, operational, and clinical stakeholders, to understand data needs and align reporting solutions.
  • Strong understanding of data governance principles, including data quality, metadata documentation, data definitions, security controls, and data privacy standards.
  • Experience identifying and resolving data inconsistencies to improve reporting accuracy, reliability, and trust in data.
  • Ability to lead or support ad hoc analysis, complex reporting requests, and organizational analytics priorities.
  • Exposure to cloud data platforms such as Azure Synapse or Snowflake is preferred
  • Experience in healthcare, home and community care, or other mission-driven environments is preferred.
  • Experience with AlayaCare Data Exploration is preferred.
  • Experience using AI technologies is preferred.
CarePartners In Your Community

In addition to providing home-based health care, CarePartners also serves the community through clinics, transitional care units, and provides relief in retirement homes and shared care settings. Through our Community Nursing Services outreach program, we've been organizing staff-led medical care and clinics in countries with poor access to health care since 2009. 

Accessibility

CarePartners welcomes and encourages applicants from people with disabilities. Candidates can request accommodations at any time in the hiring process.

Artificial Intelligence

CarePartners uses iCIMs as part of our recruitment and hiring process.  While we incorporate select Artificial Intelligence (AI) features to enhance process efficiency, we remain committed to human-led decision making.  All AI-generated outputs are subject to human review to ensure accuracy and fairness.

 

This job posting is available due to an existing vacancy.

Employment Type: FULL_TIME