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Full Time Data Analyst R Programming Jobs in Montreal, QC

... working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational ...

... working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational ...

Experience with Python or R for statistical analysis and data processing. * Hands-on experience ... engineering workflows. * Experience supporting real-time or interactive applications with data ...

With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and ...

Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers. * Create repeatable, interpretable, dynamic and scalable models ...

Build the future with us Are you driven by analytical innovation and eager to contribute to the ... Stands out for their proficiency in Python or other data science programming languages (R, SQL, etc ...

Build the future with us Are you driven by analytical innovation and eager to contribute to the ... Stands out for their proficiency in Python or other data science programming languages (R, SQL, etc ...

Build andmaintainbackend data solutions that support analysts, data scientists, and other business users. Operations, Quality, and Delivery * Apply DevOps practices to improve the development and ...

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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.

What are the most commonly searched types of Data Analyst R Programming jobs in Montreal, QC? The most popular types of Data Analyst R Programming jobs in Montreal, QC are:
What are popular job titles related to Full Time Data Analyst R Programming jobs in Montreal, QC? For Full Time Data Analyst R Programming jobs in Montreal, QC, the most frequently searched job titles are:
What job categories do people searching Full Time Data Analyst R Programming jobs in Montreal, QC look for? The top searched job categories for Full Time Data Analyst R Programming jobs in Montreal, QC are:
Senior Business Analyst (Data)

Senior Business Analyst (Data)

Royal Bank of Canada

Montreal, QC • On-site

Full-time

Re-posted 20 days ago


Job description

Job Description

The Funding and Liquidity Senior Business Analyst (Data) ensures the bank's funding, liquidity, and treasury teams have accurate, reliable data for decision-making. You will manage data sourcing across multiple systems, establish governance frameworks to maintain data quality, and resolve inconsistencies that could impact reporting or compliance. By bridging business needs and technical solutions, you'll help the organization optimize operations, reduce risk, and ensure regulatory requirements are met.

What will you do?

  • Translate and validatecomplex business rules with stakeholders, ensuring mutual agreement on definitions, logic, and expected outcomes.

  • Implement data masking techniques to protect sensitive information in non-production environments.

  • Analyze and evaluate system solutions that meet business objectives, including assessing existing systems and recommending improvements or replacements, while creating system diagrams and technical specifications to guide implementation.

  • Identify, evaluate, and maintain an inventory of internal and external data sources that support funding and liquidity operations, including core banking systems, market feeds, and regulatory platforms

  • Conduct data mapping exercises and document how data flows from source systems through transformation layers to end-user reports, capturing business rules and transformation logic

  • Assess data quality, completeness, and timeliness across systems, identify data discrepancies, and develop remediation plans for gaps or inconsistencies

  • Gather business requirements from stakeholders and translate them into data specifications, preparing impact assessments on changes to data sources or definitions

  • Extract and analyze funding and liquidity data to identify trends, risks, and optimization opportunities, developing dashboards that help teams monitor key metrics in real time

  • In this role, you will communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide.

What do you need to succeed?

Must-have:

  • Bachelor's degree in business, finance, economics, data science, mathematics, computer science, or related field with 3+ years of experience in business analysis, data analysis or data engineering roles

  • Demonstrated proficiency with SQL for querying and analyzing relational databases

  • Strong experience with data sourcing, data mapping, and ETL processes

  • Proven ability to work with data governance frameworks and authoritative data source management

Nice-to-have:

  • Experience with funding, liquidity management, cash management, or treasury systems

  • Advanced SQL skills and experience with Python or similar scripting languages

  • Experience with data visualization tools such as Tableau or Power BI

  • Knowledge of regulatory requirements related to liquidity reporting and core banking platforms

#LI-POST

Job Skills

Business Oriented, Communication, Group Problem Solving, Long Term Planning, Meeting Management, Organizational Change Management, Resource Coordination, Results-Oriented, Time Management, Waterfall Model

Additional Job Details

Address:

1 PLACE VILLE MARIE:MONTREAL

City:

Montreal

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

CAPITAL MARKETS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-04-27

Application Deadline:

2026-07-16

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