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Data Analyst R Programming Jobs in Ontario (NOW HIRING)

RideCo

Business Data Analyst

Waterloo, ON · On-site

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

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 ...

Wings Food Products

Senior Data Analyst

Toronto, ON

CA$60K - CA$80K/yr

SENION DATA ANALYST Key Responsibilities The ideal candidate has proven experience in ERP ... Coordinate internal teams, vendors, developers, and business stakeholders. * Manage risks, issues ...

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 ...

Virtusa

SQL Data Analyst

Mississauga, ON · On-site

Experience with oracle tools such as SQL Developer ,Toad. Understanding of security concepts and implementing Oracle data security. Experience in PROD issue analysis, troubleshooting , root cause ...

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 ...

Virtusa

SQL Data Analyst

Mississauga, ON

Experience with oracle tools such as SQL Developer ,Toad. Understanding of security concepts and implementing Oracle data security. Experience in PROD issue analysis, troubleshooting , root cause ...

Capital One

Senior Associate, Data Analyst

Toronto, ON · Hybrid

Bachelor's or Master's Degree in a quantitative field such as Data Analytics, Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, Finance or a related discipline. * At ...

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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 Jul 8, 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 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 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 July 2026, with employment types broken down into 5% Internship, 90% Full Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,141 per year, or $39.5 per hour.
Senior Data Analyst (SQL, Power BI, Looker)

Senior Data Analyst (SQL, Power BI, Looker)

NearSource

Toronto, ON • Remote

Full-time

Re-posted 2 days ago

Job description

Job Title: Senior Data Analyst (SQL, Power BI, Looker)
Location: 100% Remote, Canada
Experience: 5+ Years
Rate: 62 to 65 CAD PH

Role Summary

NearSource is looking for a Senior Data Analyst to drive data-informed decision-making across large-scale platform initiatives. This role involves working with cross-functional teams to analyze complex datasets, deliver actionable insights, and support strategic business outcomes for a Fortune 500 product company.

Key Responsibilities

  • Collaborate with product managers and cross-functional teams to identify, define, and solve business problems using data-driven approaches.
  • Analyze large and complex datasets to extract actionable insights that influence product and business strategy.
  • Monitor and report on KPIs and OKRs, ensuring visibility into performance across platform initiatives.
  • Partner with product, engineering, and business stakeholders to understand data needs and deliver analytical solutions.
  • Design and deliver impactful dashboards and visualizations using Power BI, Looker, or similar tools.
  • Proactively identify trends and opportunities related to platform performance, user engagement, and business impact.
  • Develop advanced data models and apply statistical techniques to forecast trends and support decision-making.
  • Ensure data integrity through best practices in data validation, cleaning, and transformation.
  • Identify and resolve data discrepancies to maintain high-quality analytical outputs.

Must-Have Skills

  • Strong proficiency in SQL for data querying, transformation, and analysis.
  • Hands-on experience with data visualization tools such as Power BI and Looker.
  • Experience with data warehouse ELT tools, including Snowflake, Airflow, or dbt.
  • Proficiency in Python or R for data analysis and modeling.
  • Familiarity with cloud platforms such as AWS or Azure.
  • Solid understanding of statistical analysis and data modeling techniques.
  • Proven ability to analyze complex datasets and generate actionable insights.
  • Strong communication skills to present data insights to both technical and non-technical stakeholders.

Nice-to-Have Skills

  • Experience working in a SaaS environment or platform engineering organization.
  • Exposure to large-scale product analytics and user behavior analysis.
  • Familiarity with enterprise product ecosystems in the software industry.

Certifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, or a related quantitative field.
  • Master's degree in a quantitative field is an asset.

Apply now, or share your resume with salary expectations at careers@nearsource.ca.
Thank you for considering a career with us! Once you submit your application, our Talent Acquisition team will review your resume thoroughly. If there's a strong match, we'll reach out to discuss your experience, role details, benefits, compensation, and next steps. While we strive for transparency, we may not be able to respond to every applicant due to high volume, but we genuinely appreciate your time and interest.

About NearSource

NearSource Technologies is a trusted partner for future-ready software consulting, enabling Fortune 500 enterprises to accelerate digital transformation. Our global engineering teams build and deploy impactful technology for some of the world's most admired brands, working directly on long-term client initiatives.

Equal Opportunity Statement

NearSource is an equal opportunity employer committed to fostering an inclusive and respectful environment. We celebrate diversity and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or background. Innovation thrives when everyone feels empowered to contribute.