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 seeking summer interns 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.