Market Analytics - Co-op Student

Loblaw Companies Limited•Brampton, ON

7d•Hybrid

About The Position

As a co-op colleague on the Loyalty Analytics team, you will leverage analytics concepts to identify opportunities, develop solutions, and integrate them into core business processes. Our co-op program provides hands-on experience in areas such as customer segmentation, offer targeting and personalization, campaign performance measurement, portfolio management, process automation, and AI-driven projects. This role offers a unique opportunity to make a difference in communities across Canada and contribute to shaping the future of Canadian retail. Loblaw Companies Limited is one of the country's largest employers, committed to positively impacting the lives of all Canadians and providing colleagues with a range of opportunities and experiences to help Canadians Live Life Well®. We succeed through collaboration and commitment, setting a high bar for ourselves and those around us.

Requirements

Enrolled in an undergraduate degree similar to Computer Science, Engineering, Data Science and Statistics, or a similar field.
Programming experience in SQL and Python, R, or any other programming language.
Interest in applying AI techniques to customer loyalty analytics (e.g., personalization, offer targeting).
Ability to convert data to insight, insight to recommendations, and recommendations into an action plan.
Strong communication skills for sharing results with both technical and non-technical stakeholders.
Detail-oriented with a passion for enhancing customer experiences through innovative AI solutions.

Nice To Haves

Experience working with large datasets and data visualization tools (e.g., Looker, Power BI) is an asset.

Responsibilities

Leverage analytics concepts to identify opportunities.
Develop solutions and integrate them into core business processes.
Gain hands-on experience in customer segmentation, offer targeting and personalization, campaign performance measurement, portfolio management, process automation, and AI-driven projects.
Use data and AI to drive personalized experiences and stronger customer engagement.
Uncover insights that improve program performance.
Apply AI solutions such as offer targeting or lifecycle management.
Research new technologies and analytics methods independently.
Learn, adopt, and share innovative approaches within the team.
Collaborate with others across departments.
Enhance processes that benefit customers and the business.
Juggle multiple projects while meeting deadlines in a fast-paced environment.
Communicate clearly with colleagues at all organizational levels.