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Full Time Data Analyst R Programming Jobs in Toronto, ON

Data Engineering and Analytics support * Thinks in automation first, enterprise first and ... Proficiencyin SQL, Python, R, or similar analytical tools. * Experience with data visualization ...

Data Engineering and Analytics support * Thinks in automation first, enterprise first and ... Proficiencyin SQL, Python, R, or similar analytical tools. * Experience with data visualization ...

Data Analyst

Toronto, ON · Remote

CA$79.65K - CA$88.50K/yr

This role reports to the Data Engineering Manager. What You'll Do * SQL & Business Analysis: Translate ambiguous business questions into precise SQL queries against our Snowflake warehouse. Own and ...

Data Analyst

Toronto, ON · Remote

CA$79.65K - CA$88.50K/yr

This role reports to the Data Engineering Manager. What You'll Do * SQL & Business Analysis: Translate ambiguous business questions into precise SQL queries against our Snowflake warehouse. Own and ...

Data Analyst

Toronto, ON · On-site +1

Rakuten Kobo Inc. is seeking an experienced Data Analyst to join our Data Storytelling & Insights team, working closely with our engineering foundations. This role blends strong technical ownership ...

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

Work closely with data engineers to validate ETL/transformation rules. * Stakeholder Collaboration ... Excellent analytical and problem-solving abilities in ambiguous environments. * Strong ...

Data Analyst

Toronto, ON · On-site +1

Contribute to analytics and data engineering best practices, including documentation, validation, and data quality standards. Qualifications * 5+ years of experience in data analytics, business ...

Data Analyst

Toronto, ON

CA$56K - CA$103.50K/yr

Provides support for the investigation, analysis & documentation of program risks. * Analyzes data and information to provide program insights and recommendations. * Develops solutions and makes ...

Reporting to Senior Data Engineer, the Data Analyst is responsible for developing automation solutions and supporting data engineering best practices of our Health Analytics department. What will you ...

Reporting to Senior Data Engineer, the Data Analyst is responsible for developing automation solutions and supporting data engineering best practices of our Health Analytics department. What will you ...

Reporting to Senior Data Engineer, the Data Analyst is responsible for developing automation solutions and supporting data engineering best practices of our Health Analytics department. What will you ...

Reporting to Senior Data Engineer, the Data Analyst is responsible for developing automation solutions and supporting data engineering best practices of our Health Analytics department. What will you ...

Collaborate with engineering teams to monitor production models, troubleshoot issues, and improve performance. * Research operational data and prepare analytics to support freight network design and ...

Collaborate with engineering teams to monitor production models, troubleshoot issues, and improve performance. * Research operational data and prepare analytics to support freight network design and ...

Data Analyst

Toronto, ON

CA$52K - CA$71.50K/yr

University degree in Computer Science/Engineering/Analytics/Mathematics/Statistics * Be curious to understand business problems. * Passionate about telling a story through data. * Sound communication ...

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

Partner with Data Engineers to support the successful implementation of solutions. QUALIFICATION REQUIREMENTS: Experience * 2+ years of work experience in quantitative analysis. Education/Training

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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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Data Analyst

Full-time

Posted 5 days ago


Job description

Job Description

What is the opportunity?

The Data Analyst is responsible for hands on data analysis, profiling, validation, and quality assurance across the CDR and broader Client Data ecosystem. This role is the engine room of the team, ensuring that client and counterparty data is accurate, complete, consistent, and fit for purpose across regulatory, risk, and business use cases.

You will work across multiple source systems and datasets, performing detailed investigations into data issues, supporting onboarding and migration initiatives, executing reconciliations, and contributing to the team's data quality frameworks. The ideal candidate is analytically rigorous, detail oriented, and comfortable navigating messy, multi source data environments. You take ownership of your workstreams and deliver reliable, well documented analysis with minimal oversight.

What will you do?

Key Responsibilities

Data Analysis & Profiling

Perform data profiling, exploratory analysis, and validation across large, multi source datasets to assess completeness, accuracy, and consistency. Execute end to end analytical work in support of data onboarding, migration, reconciliation, and quality remediation initiatives. Investigate data anomalies and discrepancies, tracing issues across source systems, transformation logic, and target platforms. Deliver structured, well documented analysis that is clear enough for stakeholders to review and for developers to act on.

Data Quality & Issue Resolution

Execute data quality checks against defined rules, thresholds, and business expectations. Perform root cause analysis on data breaks and exceptions, identifying whether issues are systemic or isolated. Recommend and track remediation actions, pushing toward structural fixes rather than recurring manual corrections. Contribute to the definition and refinement of data quality rules and exception handling processes.

Reconciliation & Validation

Execute reconciliation between source systems and target platforms, documenting discrepancies with clear supporting evidence. Validate data transformations by comparing expected versus actual outputs, flagging mismatches and working with technology teams to resolve them. Ensure reconciliation results are reproducible, well documented, and traceable.

Data Mapping & Lineage Support

Contribute to the documentation and validation of data mapping and transformation logic across source and target systems. Support the team in maintaining data lineage documentation to ensure traceability and auditability. Verify that implemented data flows match business specifications, identifying gaps and escalating where needed.

Documentation & Process

Maintain clear, structured documentation including analysis logs, reconciliation results, data dictionaries, and mapping specifications. Ensure all work products are reproducible and well organized for handoff or review. Contribute to the development and improvement of team standards for analysis, documentation, and quality assurance.

Collaboration & Stakeholder Support

Work closely with Business Analysts and Senior Analysts to support requirements validation through data samples, profiling results, and feasibility assessments. Participate in working sessions with stakeholders and technology teams, contributing data level insights. Respond to ad hoc data requests from stakeholders, delivering accurate and timely outputs. Communicate findings clearly, escalating issues with context and recommended next steps.

What do you need to succeed?

Required Experience & Skills

Experience

3 to 5 years in a Data Analyst or similar data focused role, with experience working across multi source datasets in a complex environment. Demonstrated ability to own and deliver analytical workstreams independently within larger programs. Experience with data quality, reconciliation, or migration initiatives is strongly preferred.

Technical Skills

  • Strong SQL skills with experience writing complex queries against large relational databases (SQL Server preferred). Comfortable with joins, window functions, CTEs, and subqueries.

  • Strong proficiency in Excel including advanced functions, pivot tables, lookups, and Power Query.

  • Experience with data profiling, validation, reconciliation, and standardization techniques.

  • Exposure to Python, R, or VBA for data manipulation is an asset.

  • Comfort working across messy, incomplete, and inconsistent datasets, and applying structured approaches to make sense of them.

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

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

  • Opportunities to do challenging work

  • Opportunities to build close relationships with clients

  • Access to a variety of job opportunities across business and geographies

#LI-KA2

Job Skills

Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Quantitative Research, Research Documents

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

CAPITAL MARKETS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-27

Application Deadline:

2026-06-10

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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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