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Full Time Data Analyst R Programming Jobs in Toronto, ON

Capital One

Senior Associate, Data Analyst

Toronto, ON · On-site

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 ...

Virtusa

Junior Associate

Toronto, ON · On-site

... Programming Solid working knowledge of Python specifically Pandas NumPy or R for data manipulation and statistical analysis Spreadsheets Advanced Excel or Google Sheets skills IndexMatch Pivot Tables ...

ROCK Therapist

Autism Therapist Level 1

Burlington, ON · Hybrid

You will be responsible for data collection, documentation preparation, preliminary data analysis ... Analyst (R.B.A., Ont). Experience working with and implementing programming for children and youth ...

AIM Software

Lead Financial Data Analyst

Toronto, ON · On-site

... Data Analyst. This person is expected to execute the collection, composition, control and ... Requirements engineering and data modelling experience, 1-2 years * Experience with EDM platforms ...

Fulfillment IQ

Supply Chain Data Analyst

Toronto, ON

Permanent, Full-Time Hiring Timeline (Hiring month): Immediate Reporting Line: Chief Scientist ... You sit between the data and the engineers. You have to translate what you see into something a dev ...

Roche

Finance Insights & Data Analyst

Mississauga, ON · On-site

The Position Finance Insights & Data Analyst A healthier future. It's what drives us to innovate ... R&D. * You possess digitally savvy mastery of core tools (SAP, Excel, PowerPoint, etc.). * You ...

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Full Time Data Analyst R Programming information

What is the difference between Full Time Data Analyst R Programming vs Data Scientist?

AspectFull Time Data Analyst R ProgrammingData Scientist
Required SkillsData analysis, R programming, SQL, ExcelData analysis, R/Python, machine learning, statistics
Work EnvironmentBusiness, finance, healthcare, corporate settingsResearch, tech companies, startups, academia
CertificationsData analysis, R certifications, SQL certificationsData science, machine learning, Python/R certifications

Full Time Data Analysts R Programming focus on analyzing data using R, often within business environments, while Data Scientists employ advanced statistical and machine learning techniques to extract insights, often working on complex models and algorithms. Both roles require strong analytical skills, but Data Scientists typically have a broader skill set including programming languages like Python and expertise in machine learning.

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Full Time Data Analyst R Programming jobs near you
Infographic showing various Full Time Data Analyst R Programming job openings in Toronto, ON as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 19% Part Time, and 4% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Data Engineer & Analyst - Climate Risk & Data Strategy

Toronto, ON • On-site

Royal Bank of Canada
Banking and Credit Intermediation • 10K+ employees
Learn more about Royal Bank of Canadaexternal

Full-time

Posted 19 days ago

Key responsibilities

  • Lead all Data and Systems analysis activities for the Climate Data Risk & Strategy projects portfolio

  • Design and implement pipelines for data extraction, transformation, and storage to support regulatory and governance needs

  • Collaborate with business users to elicit data requirements and demonstrate system functionality

Job description

Job Description

What is The Opportunity?

Join our Retail Credit technology team to drive the modernization of enterprise risk systems and climate data initiatives. You'll lead business and data analysis for our Climate Data Strategy and Innovation Technology portfolio-a strategic initiative to source data from multiple data sources - internal and external to RBC, build a robust storage framework, and enable advanced data modeling across the organization.

This role bridges business requirements and technology delivery, ensuring climate risk and data strategy projects translate complex requirements into actionable solutions for development and QA teams.

What Will You Do?

  • Lead all Data and Systems analysis activities for the Climate Data Risk & Strategy projects portfolio
  • Develop detailed knowledge of current-state data feeds for Climate Risk Data Stores and Climate Data Hub, working across PCAF Asset Classes (Residential Real Estate, Commercial Real Estate, Sovereign Debt, Project Finance, Listed Equity, Corporate Bonds, Business Loans, and Unlisted Equities)
  • Design and implementpipelines for data extraction, transformation, and storage while ensuring data consistency, lineage, andmetadata managementto support regulatory and governance needs.
  • Determine and map data transformation rules to standardize feeds from multiple sources into Climate Risk engines and Data Stores
  • Collaborate with business users to elicit data requirements and demonstrate system functionality
  • Create functional, non-functional and data specifications and conduct complex data analysis using AI/LLM models
  • Partner with development and QA teams to validate design assumptions, explain requirements, and create test cases and support UAT
  • Work with ESG & Risk Analytics teams to build data assets, models and calculation engines to produce Risk Metrics used in RBC Climate Risk Disclosures and to track RBC's exposure to Physical Risk

What You Need to Succeed?

Must Have:

  • 5+ years as a Data Engineer or Analyst, or in a technical/functional/consulting role in software development
  • Strong proficiency in Python (Pandas), 'pySpark' and SQL for complex data analysis
  • Ability with data catalogues, data modeling, and business process modeling and experience working on data projects using Agile methodologies (sourcing, standardization, and aggregation)
  • Excellent written and verbal communication skills; ability to document requirements, write specifications, and present findings to business and technical stakeholders
  • Bachelor's degree in Engineering, Sciences, Technology, Computer Science, Math, Statistics, or related quantitative field

Nice to Have:

  • Knowledge of climate data initiatives and ESG investment policies/frameworks for financial institutions
  • Experience supporting developers with technology stacks such as Linux, Hadoop, Hive, and Spark
  • Exposure to using AI/LLM models embedded in tools such as Windsurf and Github Co-Pilot - AI-powered agentic coding assistants for analytical purposes
  • Experience with data in the finance, banking, or insurance industries

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact

  • Work in a dynamic, collaborative, progressive, and high-performing team

  • A world-class training program in financial services

  • Flexible work/life balance options

  • Opportunities to do challenging work

#LI-POST

Job Skills

Business Appraisals, Business Process Modeling, Commercial Acumen, Communication, Critical Thinking, Group Problem Solving, Interpersonal Relationship Management, Requirements Analysis, Resource Management, Team Management

Additional Job Details

Address:

120 WESTERN PKY:BEDFORD

City:

Bedford

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-20

Application Deadline:

2026-09-26

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME

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