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Salary
$52k – $72k per year
Location
In office (Toronto)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Aug 6, 2026. Canada Goose scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Canada Goose is a Canadian maker of performance luxury outerwear headquartered in Toronto, known for its down parkas, puffers, rainwear, knitwear, footwear and accessories sold through its own stores, e-commerce sites and wholesale partners. Founded in 1957 in a small Toronto warehouse and listed on the New York and Toronto stock exchanges, it still manufactures much of its outerwear in Canada, with factories in Toronto and Winnipeg, and operates boutiques across North America, Europe and Asia. It hires retail sales and operations associates, store managers, sewing machine operators, industrial engineering technologists, warehouse staff, and marketing, analytics and legal professionals.

Location:

Toronto

Address:

100 Queens Quay East Toronto, Ontario M5E 1V3 Canada

Job Title:

Sr. Analyst, Loyalty Analytics

Canada Goose isn't like anything else. We've built something great, something special - an iconic lifestyle brand with an inspirational and authentic story. At the heart of it is our promise to inspire and enable all people to thrive in the world outside. To Live in the Open. At Canada Goose, you're part of a movement that belongs to something bigger. One that seeks out the restorative power of nature and is driven by a purpose to keep the planet cold and the people on it warm. We endure any condition, observe every detail, and are building a community that believes in living bravely and coming together to support game-changing people.

Here, opportunities are everywhere - to try something new, to learn, to do meaningful and impactful work, and they're yours for the taking.

Position Overview:

We are looking for aSenior Loyalty Analytics Analyst to lead data-driven insights for ourCRM &loyalty program. You will own the analytics function for loyalty, turning complex customer, transaction, and engagement data into strategic recommendations that boost retention, increase lifetime value, and maximize program ROI. This is a high-impact senior role where yourexpertisewill directly shape loyalty strategy.

What You'll Do:

  • Development and optimization of advanced SQL queries and data models to extract, transform, and analyze large volumes of loyalty, transactional,subscription, and behavioral data from multiple sources.

  • Design, build, andmaintainself-servedPower BI dashboards and reports using advanced DAX, star-schema modeling, and performance optimization techniques to track key loyalty metrics such as retention/churn, customer lifetime value (CLV), segment performance, redemption rates, campaign ROI, and tier effectiveness.

  • Conduct in-depthAd Hoc analysis aboutcustomer segmentation, cohortevaluation,behavioral deep-dives, and program performance toidentifyopportunities and risks.

  • Supportend-to-end loyalty analytics: evaluatemarketingcampaignseffectiveness and provide clear, actionable recommendations to the loyalty andMarketingteams.

  • Partner closely with Product, Finance, and Executive teams to translate insights into prioritized business strategies and roadmaps.

  • Present compelling, executive-ready insights and storytelling dashboards/Presentationsto senior leadership.

Let's Talk About You:

  • Advanced SQLexpertise - highly proficient with complex queries (CTEs, window functions, performance tuning, and optimization) on large-scale datasets.

  • Expert-level Power BIproficiencyisa must - strong command of DAX, data modeling, row-level security, custom visuals, and Power BI Service governance.

  • Previousexperience with loyalty programs - proventrack recordanalyzing loyalty initiatives (points, tiers, rewards, redemption, retention mechanics).

  • 5+ years of hands-on analytics experience, preferably in loyalty, CRM, customer retention, or related domains.

  • Bachelor’s degree in DataAnalytics, Statistics, Business Analytics, Computer Science, or equivalent practical experience.

  • Strong business acumen and communication skills, with the ability to influence stakeholders and present to executive audiences.

What’s in it For You?

  • A company built on Canadian roots and heritage

  • Your work is recognized with a comprehensive and competitive Total Rewards Program

  • Opportunities for career growth through numerous internal and external programs

  • Recognize and be recognized by your peers with our Goose Rewards & ICON Rewards

  • Be a part of CG Gives. Donation matching and paid volunteer time to help the organizations you care about

  • Access to tools and resources to support physical and mental health, embracing change and connecting with colleagues

  • Inspiring leaders and colleagues who will lift you up and help you grow

Salary Range:

$73,000.00 - $102,000.00 / year

About the salary range: We’re committed to being open and fair about pay. The range provided is intended as a guideline and does not represent a guaranteed offer. When we make an offer, we consider the responsibilities of the position, market data, and internal equity to ensure consistency across our team. Your actual offer will depend on your experience, skills, and alignment with the role.

Vacancy status: This posting represents an active vacancy for which we are currently hiring.

At Canada Goose, we believe that belonging goes beyond mere inclusion. It’s about being part of a community that values, supports, and empowers you. We thrive when we can be our authentic selves. Our community is built on empathy and the understanding that every individual’s experience is unique, and every voice is important. We also recognize that communities are ever evolving, and that our work is never done. At Canada Goose, belonging is more than just an ideal-it’s the key to unlocking our collective potential, taking us further together.

Canada Goose is an equal opportunity employer and is committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act.

There are multiple ways to interview with us! If you require any interview accommodation for your interview, please e-mail us at [email protected].

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