Data Analyst Student, Customer Analytics (4 months) - Winter 2025
Oakville 01
Canadian Tire Corporation
Job Title: Data Analyst Student, Customer Analytics
Department: Customer Analytics Centre of Excellence (CACE), Data Operations (DAOP)
Location: Hybrid - Remote/Oakville, ON
Work Term/Duration: Winter 2025 - January to April
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.
What You'll Do
As a Data Analyst Student, you will provide structured transparency and management of our data assets. By focusing on data lifecycle, data quality and governance principles, the Data Analyst will ensure we know where our data comes from, is stored, is going and how it is being used and transformed along the way. The Data Analyst will enable a collaborative data environment where all stakeholders have access to the data they need, understanding, confidence and trust in the data they use and support for the data they steward
- Promote data governance and data management standards, policies, procedures and controls
- Continuously assess the current state of our data environment to identify process improvement opportunities such as inefficient table structures, ineffective load processes, R.O.T. or metadata and reference data enhancements
- Proactively monitor data, metadata and reference data and support the data stewardship community in resolving identified data quality and data integrity concerns
- Maintain data models as well as metadata and documentation such as data glossaries and catalogs, data mappings, data lineage and data classifications
- Participate in data integrations as the liaison between I.T., business data owners\stewards and subject matter experts and conduct data profiling and data discovery to support these efforts
- Maintain open communication between all data stakeholders, from data producers to consumers, and remain an active enabler of the data governance structure of the Bank
What You Bring
- Working towards a University degree in Mathematics (Statistics), Computer Science, Data Analytics or a relevant discipline
- Experienced Microsoft user with proficiencies in Visio, PowerPoint, Excel, and Word
- Knowledge and understanding of programming concepts and language
- Hands-on experience working with structured relational databases and writing SQL queries, preferably in an Oracle Database Environment
- Exposure to the following tools or technology an asset: Hadoop, Hive, Snowflake, Python, R, Shell Scripting, SAS, basic Linux commands
Hybrid
We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team. This role is based out of our CTFS office in Oakville, Ontario.
About Us
At Canadian Tire Services Limited/Canadian Tire Bank, it is our mandate to continue to create innovative and rewarding financial solutions for our customers. Our growing suite of products and services showcase the dynamic contributions from our employees and our success is driven by a strong vision, loyal customers, and our ability to build teams that reflect the diverse customers and communities in which we live and work. Join us, where there's a place for you here.
Our Commitment to Diversity, Inclusion and Belonging
We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better. .
Accommodations
We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data Analytics Data governance Data management DataOps Data quality Excel Hadoop Linux Mathematics Oracle Python R RDBMS SAS Shell scripting Snowflake SQL Statistics
Perks/benefits: Career development
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