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Canada Goose

Designs and sells insulated outerwear

Manager, Advanced Analytics & BI

Data Engineering +1Confirmed live in the last 24 hours
Full-timeToronto, ON, Canada$102k - $141k /yrIn-person

About the Job

Requirements

  • At least 5 years of experience in Business Intelligence, Analytics, or a related field, including experience leading projects and influencing technical direction.
  • Ability to transform complex data into actionable insights that drive business decisions and outcomes.
  • Experience with SQL, ETL development using SSIS, Azure Data Factory, or similar tools, 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.
  • Ability to partner with Data Engineering and cross-functional teams to deliver scalable data and reporting solutions.
  • Ability to balance long-term roadmap planning with day-to-day business priorities.
  • Stakeholder management skills and ability to influence and communicate at all levels of the organization.
  • Attention to detail and analytical problem-solving skills.
  • Post-secondary education in Computer Science, Information Technology, Analytics, or a related field, or an equivalent combination of education and experience.

Responsibilities

  • 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 business questions, managing delivery, and translating results into actionable recommendations.
  • Apply advanced analytics and AI to develop solutions to complex business problems using 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.
  • Lead the design, development, and maintenance of data pipelines and data models that integrate, map, and structure data from multiple source systems into an enterprise-ready foundation for reporting and analytics.
  • Translate business requirements into consumption patterns, reports, and multidimensional models.
  • Develop and deliver reports and dashboards, and oversee the preparation and maintenance of weekly enterprise reports.
  • 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.
  • Own and enforce enterprise BI standards, policies, and governance.
  • Ensure data flows with 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.

Desired Qualifications

  • Prior working experience in retail, manufacturing, or distribution environments.
  • Experience with Microsoft D365, Anaplan, Python, R, Alteryx, or KNIME.

About the Company

Canada Goose

Designs and sells insulated outerwear

Canada Goose makes outdoor apparel and gear, especially quilted jackets, outerwear, and related clothing. Its products are designed to help people explore and endure in various weather, with a focus on authentic storytelling and a sense of community. The company’s offering works by producing high-quality, durable outerwear and apparel that protects wearers in challenging conditions, enabling exploration and outdoor activity. It differentiates itself through a strong brand narrative, a community-focused culture, and a mission to empower explorers and protect the planet, rather than just selling clothing. Its goal is to enable brave, authentic exploration while fostering belonging and social impact, including environmental stewardship and support for people who pursue meaningful, game-changing work.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1957

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