Jobs Companies Canada Goose Sr. Analyst, Loyalty Analytics

Sobre este puesto de Sr. Analyst, Loyalty Analytics en Canada Goose

Canada Goose · Presencial · Toronto, Ontario, CAN

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 a Senior Loyalty Analytics Analyst to lead data-driven insights for our CRM & 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 your expertise will 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, and maintain self-served Power 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-depth Ad Hoc analysis about customer segmentation, cohort evaluation, behavioral deep-dives, and program performance to identify opportunities and risks. 

  • Support end-to-end loyalty analytics: evaluate marketing campaigns effectiveness and provide clear, actionable recommendations to the loyalty and Marketing teams. 

  • 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/Presentations to senior leadership. 

Let's Talk About You:

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

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

  • Previous experience with loyalty programs – proven track record analyzing 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 Data Analytics, 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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Sobre Canada Goose

Canada Goose isn't like anything else. We’ve built something great, something special – an iconic brand with an inspirational and authentic story. Here, opportunities are everywhere – to try something new, to learn, to do meaningful and impactful work, and they’re yours for the taking. We embrace diversity in all its forms and definition and strive to remove barriers to create an inclusive culture and equitable workplace where everyone can live authentically, every day and in every situation.

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