What You’ll DoPromote 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.Who You AreA clear and confident communicator with the ability to explain technical concepts to varied audiences.A curious and creative thinker who identifies opportunities and can reason through abstract ideas.A goal‑driven individual with a strong interest in continuous improvement.A collaborative team member who builds positive working relationships across functions.Flexible and adaptable,



with the ability to prioritise work in response to changing business needs.Technically grounded, with a willingness to learn and apply new tools and concepts.Demonstrates transparency, accountability, agility, and openness to learning from others.What You’ve DoneCurrently 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.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.Advantages and CompensationCompetitive pay.Career growth opportunities and product discounts.Salary range: $23.00–$37.00 per hour (typical range $23.00–$30.00 CAD hourly).Accommodations and DiversityWe are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do.We welcome and encourage candidates from equity‑seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. If you require any accommodation in applying for this role, or throughout the interview process, please let us know.#J-18808-Ljbffr

📌 Credit Risk Data Analyst Student (4 Months) - Fall 2026 - C$23 - C$37 An Hour (Winnipeg)
🏢 Canadian Tire Bank
📍 Winnipeg