Job Description
Please note: This posting is for a 4-or 8 month Student Fall 2026 placement with a start date of September 8, 2026 and end-date of December 18, 2026 or April 23, 2027.
In order to be eligible for this Fall Student position, you must either:
- Be returning back to school after the work term end-date of December 2026/April 2027; or
- If you are not returning back to school (i.e. are graduating in August/December 2026), but you require the work term as a mandatory component to 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 growth?
We are seekingsummerinterns across several Data Analyst roles (including but not limited to the following: Data Analysts, Data Engineer, Advisor Sales 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.
Your application will be reviewed for consideration across multiple roles within the following areas:
- Payment Innovation
- Customer Data Management
- Cards & Loyalty
What will you do?
- 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.
- Experience working with SQL and large data sets and knowledge of AWS, cloud computing, or similar storage solutions
- Manipulate, organize and retrieve data using formulas and logic functions (particularly vlookups).
- Proficiency in data analysis tools (e.g., SQL, Python, R) and Business Intelligence platforms (e.g., Tableau, Power BI).
- Experience working within professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source code management, build processes and testing.
- Desire to learn data capabilities such as data management, data governance, data mastering, data quality, data literacy, etc.
- Curiosity and willingness to learn about AI/ML and how data engineering supports it.
- Desire to learn data business intelligence tools (e.g. Excel, Tableau)
Nice to have:
- Exposure to cloud data platforms.
- Basic understanding of AI/ML workflows (e.g., data preparation, model input/output).
- Must be a self-starter, with strong analytical and problem-solving skills
- Ability to work in teams and collaborate effectively with people in different functional areas
- Excellent interpersonal and highly developed communication skills (verbal and written)
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.
- 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.
- Opportunities to do challenging work and make a difference.
- Opportunities to build close relationships
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:
2026-04-20
Application Deadline:
2026-05-11
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 c