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Entry Level Data Analyst R Programming Jobs in Toronto, ON

Data Governance Analyst

Toronto, ON · Hybrid

CA$84K - CA$95K/yr

Reporting to the Data Governance Manager and collaborating with data engineers and architects, you ... Analyze and triage data-related incidents across multiple systems. * Collaborate with domain ...

Data Governance Analyst

Toronto, ON · Hybrid

CA$84K - CA$95K/yr

Reporting to the Data Governance Manager and collaborating with data engineers and architects, you ... Analyze and triage data-related incidents across multiple systems. * Collaborate with domain ...

HEALTH INFORMATION ANALYST

Toronto, ON · Hybrid

CA$42.68 - CA$46.31/hr

Writes and executes computer programs for data extraction, and data set creation and analysis by using statistical software packages (e.g. SAS &/or SPSS &/or Stata, R, ArcGIS programs, etc.

Our vision for digital, data analytics and AI: Join us on our journey in enabling Sanofi's Digital ... Working knowledge of scripting languages (Python, R a plus) * Familiarity with Source Code ...

Data and AI Engineer

Unionville, ON · On-site

CA$86K - CA$124K/yr

Our vision for digital, data analytics and AI: Join us on our journey in enabling Sanofi's Digital ... Working knowledge of scripting languages (Python, R a plus) * Familiarity with Source Code ...

Data and AI Engineer

Brampton, ON · On-site

CA$86K - CA$124K/yr

Our vision for digital, data analytics and AI: Join us on our journey in enabling Sanofi's Digital ... Working knowledge of scripting languages (Python, R a plus) * Familiarity with Source Code ...

Our vision for digital, data analytics and AI: Join us on our journey in enabling Sanofi's Digital ... Working knowledge of scripting languages (Python, R a plus) * Familiarity with Source Code ...

Our vision for digital, data analytics and AI: Join us on our journey in enabling Sanofi's Digital ... Working knowledge of scripting languages (Python, R a plus) * Familiarity with Source Code ...

Showing results 41-60

Entry Level Data Analyst R Programming information

What is an entry level data analyst r programming?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What skills and qualifications are needed to thrive as an entry level data analyst r programming?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What are the most commonly searched types of Data Analyst R Programming jobs in Toronto, ON?

The most popular types of Data Analyst R Programming jobs in Toronto, ON are:

What are popular job titles related to Entry Level Data Analyst R Programming jobs in Toronto, ON?

For Entry Level Data Analyst R Programming jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst R Programming jobs in Toronto, ON look for?

The top searched job categories for Entry Level Data Analyst R Programming jobs in Toronto, ON are:

Infographic showing various Entry Level Data Analyst R Programming job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.

Winter 2027 Co-op Student - Data Analyst, Personal Banking (4, 8, 12 months)

Royal Bank of Canada

Toronto, ON • On-site

Full-time

Posted 19 days ago


Job description

Job Description

    Please note: This posting is for a 4, 8, 12 month Student Winter 2027

    Student placement with a start date of January 11, 2027 and end-date of April 30, 2027, August 20, 2027 or beyond.

    In order to be eligible for this Winter Student position, you must either:

    Be returning back to school after the work term end-date in August 2027/December 2027; or

    If you are not returning back to school (i.e. are graduating in April 2027/August 2027), but you require the work term as a mandatory component in order to graduate successfully.

    Please ensure that you meet these eligibility requirements before applying - candidates who apply but are found to be ineligible are not able to be considered.

      What is the opportunity?

      Are you a data-driven student with a passion for uncovering insights and driving business story telling?

      We're seeking a Data Analyst to join our Personal Banking team and play a key role in transforming data into actionable strategies. This is an exciting opportunity to work with cutting-edge Business Intelligence technologies, refine your analytical skills, and contribute to meaningful business decisions.

      Potential Placements:

      • Payment Innovation
      • Customer Data Management
      • Cards & Loyalty

      What will you do?

      Depending on your placement, you may:

      • Identify, manage, analyze, and interpret data to support the creation of meaningful and actionable insights that drive business growth.
      • Work with cutting-edge Business Intelligence technologies and data tools to streamline processes and enhance decision-making.
      • Develop creative problem-solving and analytical skills to address complex business challenges.
      • Refine your communication and presentation skills by presenting findings and recommendations to business partners and senior management.
      • Engage with various parts of the data lifecycle, including building data pipelines, feature engineering, data deep dives, and machine learning model development.

      What do you need to succeed?

      Must-have:

      • Currently enrolled in a post-secondary program in Data Science, Statistics, Computer Science, or a related field.
      • Strong analytical and problem-solving skills with a keen eye for detail.
      • Proficiency in data analysis tools (e.g., SQL, Python, R) and Business Intelligence platforms (e.g., Tableau, Power BI).
      • Excellent communication and presentation skills.
      • Ability to work independently and collaboratively in a fast-paced environment.
      • Passion for data and a desire to drive business growth through insights.

      Nice-to-have (varies by placement):

      • Familiarity with databases, data engineering concepts, or cloud technologies.
      • Exposure to software development practices, application support, or workflow automation.
      • Ability to interpret and communicate complex technical insights to non-technical stakeholders.
      • Bilingualism (English and /French) written and spoken.

      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.

      You will gain access to:

      • Leaders who support your development.
      • Opportunities to take on progressively greater accountabilities.
      • A dynamic, collaborative, and high-performing environment.
      • The chance to make a meaningful impact on RBC's operations and client experience.

      Job Skills

      Communication, Computer Literacy, Detail-Oriented, Interpersonal Relationships, Listening Effectively, Personal Development, Personal Initiative

      Additional Job Details

      Address:

      RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

      City:

      Toronto

      Country:

      Canada

      Work hours/week:

      37.5

      Employment Type:

      Full time

      Platform:

      PERSONAL & COMMERCIAL BANKING

      Job Type:

      Student/Coop (Fixed Term)

      Pay Type:

      Salaried

      Posted Date:

      2026-08-17

      Application Deadline:

      2026-09-25

      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.

      Join our Talent Community
      Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
      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.

      Employment Type: FULL_TIME