Credit Risk Data Analyst Student (4 months) - Fall 2026
About The Position
Our Commitment to Students At Canadian Tire, we are committed to providing students with a supportive and collaborative environment that fosters knowledge sharing and offers key experiences to help them develop their capabilities through projects and objectives. We believe in setting specific and measurable goals that align with our business objectives to support learning and help students achieve their full potential. Our culture emphasizes learning from others, continuous improvement, agility, growth, and innovation, and we are invested in building a talented, diverse workforce for the future of Canada and Canadian Tire. Additionally, we are dedicated to building strong relationships with our student employees by engaging with them throughout their education and career pursuits and creating opportunities for ongoing communication and relationship building.
Requirements
- Currently enrolled in a Computer Science or related academic programme.
- Proficient Microsoft Office user, including Visio, PowerPoint, Excel, and Word.
- Foundational knowledge of programming concepts and languages.
- Hands‑on experience with structured relational databases and writing SQL queries; experience with Oracle databases is preferred.
Nice To Haves
- Exposure to one or more of the following tools or technologies is considered an asset: Hive, Snowflake, Python, R, shell scripting, SAS, basic Linux commands, Databricks, IBM Knowledge Catalog.
Responsibilities
- Promote and support data governance and data management standards, policies, procedures, and controls across the organisation.
- Assess the current state of the data environment to identify improvement opportunities, including inefficient table structures, ineffective load processes, redundant, obsolete, or trivial (R.O.T.) data, and metadata or reference data gaps.
- Proactively monitor data, metadata, and reference data, and support the data stewardship community in addressing data quality and data integrity issues.
- Maintain data models and supporting artefacts, including data glossaries, catalogues, data mappings, data lineage, classifications, and related documentation.
- Support data integration initiatives by acting as a liaison between IT, business data owners and stewards, and subject matter experts; perform data profiling and data discovery as required.
- Maintain clear and open communication with data stakeholders across the data lifecycle, from producers to consumers, and actively support the Bank’s data governance framework.
Benefits
- Career growth opportunities
- product discounts
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What This Job Offers
Career Level
Intern
Education Level
High school or GED
