Analyst AI Enablement Student Fall

Position: Analyst AI Enablement Student (4 months) - Fall 2026
## Analyst AI Enablement Student (4 months) - Fall 2026

Apply locations:
Calgary, ABtime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
July 20, 2026 (13 days left to apply) job requisition :
JR161999
** 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**
* ** Apply AI to Store Operations problems
** by partnering with Store Ops, Business Analysis, and cross‐functional teams to identify high‐value use cases for Copilot and other approved AI tools (e.g., task prioritization, performance signals, execution tracking, insight generation).
* ** Design and test mission‐based workflows
** that connect enterprise priorities to frontline execution, supporting automated prompts, insights, and performance feedback loops for store leaders and teams.
* ** Develop prototype performance frameworks
** that integrate data, objectives, and behaviours—translating strategy into simple, operationally relevant guidance for stores, with a roadmap toward scalable automation.
* ** Enable decision‐making and execution
** by translating AI‐enabled insights into prompts, priorities, and actions for Store Ops leaders and frontline teams (not static dashboards or recurring reports).
* ** Document learnings and recommendations
** from pilots and trials, including adoption barriers, change management considerations, and opportunities to further embed AI into Store Operations rhythms.
* ** Operate within responsible AI guidelines**, ensuring tools are applied ethically, transparently, and in alignment with enterprise Copilot governance and training standards.
** What You Bring
*** Undergraduate degree (or near completion) in Business, Analytics, Engineering, Information Systems, or a related field.
* Strong analytical and problem‐solving mindset, with the ability to translate data, insights, and priorities into clear, practical actions.
* Working familiarity with
** Microsoft 365 tools**, with demonstrated interest or early experience using
** Copilot or AI‐assisted productivity tools**.
* Curiosity for how technology, behaviour, and performance intersect in a
** frontline retail environment**.
* Ability to work in ambiguity, supporting test‐and‐learn pilots while maintaining structure, documentation, and follow‐through.
* Clear written and verbal communication skills suited for both operational partners and senior leadership audiences.
** What Makes This Role Unique
*** This role blends analytics, product thinking, and change enablement—it is intentionally
** hands‐on, experimental, and execution‐focused**, rather than a traditional business intelligence or reporting role.
* Hands‐on exposure to
** applied AI in retail Store Operations**, not theoretical or experimental work.
* Direct involvement in shaping how performance management and execution discipline evolve at Mark’s.
* Opportunity to influence future
** enterprise tooling and capability decisions
** through grounded, real‐world pilots.
* High visibility with senior Store Operations leadership during a defined, outcome‐oriented contract period.
** Why Join Mark’s
** At Mark’s, we focus on making work
** simpler, clearer, and more impactful
** for our frontline teams. This role is an opportunity to help define how AI can meaningfully support that ambition—turning strategy into action, and data into better decisions, in the flow of retail work.
** Hybrid
*…