Fall 2026 Student – Data Analyst, Personal Banking

RBC • Toronto, ON

11d • Onsite

About The Position

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. To be eligible for this Fall Student position, candidates must either be returning to school after the work term or require the work term as a mandatory component to graduate successfully. This is an opportunity for data-driven students passionate about uncovering insights and driving business growth. The role involves joining the Personal Banking team to play a key role in transforming data into actionable strategies. It offers an exciting opportunity to work with cutting-edge Business Intelligence technologies, refine analytical skills, and contribute to meaningful business decisions. Applications will be reviewed for consideration across multiple roles within Payment Innovation, Customer Data Management, and Cards & Loyalty, including Data Analysts, Data Engineer, and Advisor Sales Analyst.

Requirements

• 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).
• 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).

Nice To Haves

• Exposure to cloud data platforms.
• Basic understanding of AI/ML workflows (e.g., data preparation, model input/output).

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 5,001-10,000 employees