Manager, Advanced Analytics & BI

Location: Toronto Address: 100 Queens Quay East Toronto, Ontario M5E 1V3 Canada Job Title: Manager, Advanced Analytics & BI 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: The Manager, Advanced Analytics & BI, leads the strategy, design, and delivery of the enterprise reporting and advanced analytics ecosystem that supports revenue performance. Reporting to the Sr. Director, the Manager owns the BI roadmap, partners closely with the Data team to co-develop scalable BI pipelines and dashboard solutions, and leads advanced analytics projects that turn data into measurable business impact. As a hands-on technical leader and subject-matter authority, the Manager sets standards, drives cross-functional initiatives, and influences stakeholders across the enterprise, while safeguarding the integrity, governance, and continuous improvement of the BI reporting environment. What You'll Do: Advanced Analytics Projects Drive the data and BI strategy and roadmap, aligning advanced analytics investments with enterprise and FP&A priorities Lead advanced analytics projects end to end, partnering with stakeholders to frame the business question, managing delivery, and translating results into actionable recommendations Apply advanced analytics and AI to develop innovative solutions to complex business problems, leveraging techniques such as forecasting, statistical modeling, and machine learning Champion the adoption of new tools, methodologies, and best practices to advance the organization’s analytics maturity BI Development & Delivery Lead the design, development, and maintenance of the data pipelines and data models that integrate, map, and structure data from multiple source systems into a reliable, enterprise-ready foundation for reporting and analytics Translate business requirements into consumption patterns, reports, and multi-dimensional models Develop and deliver reports and dashboards, and oversee the preparation and maintenance of weekly enterprise reports Partnership & Solution Development Partner with the Data/Data Engineering team to co-develop scalable BI pipelines and dashboard solutions, ensuring alignment between data architecture and reporting needs Collaborate on data modeling, integration, and platform decisions that support enterprise-wide reporting and analytics Drive discussions with business users to solicit, review and prioritize reporting and analytical requirements Stakeholder Enablement & Governance Own and enforce enterprise BI standards, policies, and governance Ensure the flow of data and data integrity throughout the enterprise reporting ecosystem Enable and support stakeholders in understanding and using enterprise reports, dashboards, and tools to solve business needs Lead or support special projects and perform other duties as required Let's Talk About: 5+ years of experience in Business Intelligence, Analytics, or a related field, including experience leading projects and influencing technical direction Proven ability to transform complex data into actionable insights that drive business decisions and outcomes Strong experience with SQL, ETL development (SSIS, Azure Data Factory, or similar), and data warehousing methodologies such as Star Schema and Kimball Advanced proficiency with BI and visualization tools such as Power BI, Tableau, or similar platforms Experience applying advanced analytics techniques, including forecasting, statistical modeling, or machine learning Skilled at partnering with Data Engineering and cross-functional teams to deliver scalable data and reporting solutions A strategic thinker who can balance long-term roadmap planning with day-to-day business priorities Strong stakeholder management skills, with the ability to influence and communicate effectively at all levels of the organization Naturally curious, solutions-oriented, and driven to continuously improve processes and ways of working Exceptional attention to detail, analytical problem-solving skills, and a passion for turning data into meaningful business value Post-secondary education in Computer Science, Information Technology, Analytics, or a related field, or an equivalent combination of education and experience Prior working experience in retail, manufacturing or distribution environments, and with systems including Microsoft D365, Anaplan, Python, R, Alteryx, or KNIME are considered strong assets 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: $102,000.00 - $141,000.00 / 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 HR@canadagoose.com.

The Manager leads the strategy, design, and delivery of the enterprise reporting and advanced analytics ecosystem to support revenue performance. They are responsible for managing the BI roadmap, developing scalable data pipelines, and driving advanced analytics projects to generate actionable business insights.

Candidates must have 5+ years of experience in Business Intelligence or Analytics with strong proficiency in SQL, ETL development, and data visualization tools. A post-secondary degree in a relevant field is required, along with proven ability to influence technical direction and manage cross-functional stakeholders.

• Total Rewards Program • Goose Rewards • ICON Rewards • Donation matching • Paid volunteer time • Physical and mental health support

• Power BIPreferred
• SQLPreferred
• TableauPreferred
• Machine learningPreferred
• Project managementPreferred

Identified from the job description. Confirm important requirements above.

• Business Intelligence
• Advanced Analytics
• SQL
• ETL Development
• Data Warehousing
• Power BI
• Tableau
• Statistical Modeling
• Machine Learning
• Data Modeling
• Forecasting
• Stakeholder Management
• Project Management
• Data Governance
• Strategic Planning
• Empathy
• Influencing Skills
• Business Problems
• Pipelines
• Performance Reporting
• Anaplan
• Azure Data Factory
• Reporting Solutions
• Curiosity
• Solution-Oriented
• Business Decisions
• Planning
• Artificial Intelligence
• Mental Health
• Business Intelligence Development
• Business Continuity Planning
• Dashboard
• Business Requirements
• Business Valuation
• Communication
• Computer Science
• Computer Graphics
• Information Technology
• Continuous Improvement Process
• Data Architecture
• Data Engineering
• Data Integrity
• Extract Transform Load (ETL)
• Disabilities
• Equities
• R (Programming Language)
• Governance
• Leadership
• Scalability
• Innovation

• Data & Analytics
• Management & Leadership
• Technology
• Retail
• Finance & Accounting
• Analytics Manager
• Data Analytics Manager
• Mathematicians, Actuaries and Statisticians
• Data Scientists

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week