Data Analyst Co-op Fall 2026 - Global Asset Management - Bilingual

Responsibilities

• At CIBC we enable the work environment most optimal for you to thrive in your role. To successfully perform the work, you'll be on-site full-time.
• The expected annualized base salary range for this role is $50,840 to $59,350.
• We are committed to providing fair, equitable, and competitive compensation opportunities for all employees and we encourage open conversations about compensation throughout the recruitment process.
• Important information:
• You must be currently enrolled in post-secondary education to be eligible, however, you do not need to be in a registered Co-op program to be considered for this role
• Recruitment timeline: Applications review - June/July; Interviews - June/July; Offers - July
• Please include your resume (no more than 2 pages), a cover letter (no more than 1 page), and your most recent unofficial transcript with your application. These should all be uploaded into the Resume section of the application as one document.
• Work Location: Montreal, QC (fully on-site role)
• Duration of term: Fall 2026 term (September 2026 - December 2026)
• How you'll succeed
• Analytics Support - Assist with data analysis and business intelligence activities to inform strategic decisions.
• Data Transformation - Prepare, transform, and automate data processes for dashboards and reports using Databricks and Azure cloud technologies.
• Dashboard Delivery - Create and deliver dashboards using Power BI to provide actionable insights.
• Data Visualization - Develop clear and compelling data visualizations using Databricks and other platforms.
• Technical Collaboration - Engage with technical teams and business partners to ensure your work meets organizational needs.
• Modern Data Engineering - Apply modern data engineering practices, including data modeling, pipeline development, and optimization.
• AI and ML Exploration - Demonstrate interest in AI, ML, and Gen AI technologies, contributing new ideas for their application in data work.

Requirements

• You have a STEM background. You're pursuing or have completed studies in Science, Technology, Engineering, or Mathematics, giving you a strong technical foundation.
• You're fluent with data. You're comfortable working with large datasets and quickly grasp data structures and relationships, including basic understanding of SQL, relational databases, and data modeling concepts.
• You have hands-on experience in Databricks and Power BI. You can analyze and visualize data using these platforms.
• You're interested in AI and ML. You are eager to learn and explore how AI, ML, and Gen AI technologies can be used in data engineering and analytics.
• You have relevant technical skills. You bring skills in Databricks, SQL, data engineering, and modeling. Experience with standard programming languages (such as Python or C#) is nice to have.
• You're resourceful and a problem solver. You find creative solutions, manage your time effectively, and can automate processes to improve efficiency.
• You're collaborative and communicative. You work well with others, value diverse perspectives, and ask questions to clarify and drive results.
• Values matter to you. You bring your real self to work, and you live our values - trust,

Additional Information

We're building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what's right for our clients. At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute. To learn more about CIBC, please visit CIBC.com

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