Manager, Advanced Analytics & BI

canadagoose

Toronto

On-site

CAD 120,000 - 170,000

Full time

3 days ago
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Job summary

Canada Goose is seeking a Manager of Advanced Analytics & BI in Toronto. Lead the strategy, design, and delivery of enterprise reporting and analytics, partnering with Data to co-develop scalable pipelines and dashboards.

This hands-on leadership role drives governance and improvements across the BI environment. You will translate business questions into analytics, lead cross-functional initiatives, and enable stakeholders with actionable insights using tools like Power BI/Tableau.

Qualifications

  • 5+ years of experience in BI, Analytics, or related field with project leadership.
  • Ability to transform complex data into actionable business insights to drive decisions.
  • Strong experience with SQL, ETL development, and data warehousing methodologies such as Star Schema and Kimball.
  • Advanced proficiency with BI/visualization tools such as Power BI or Tableau.
  • Experience applying forecasting, statistical modeling, or machine learning techniques.

Responsibilities

  • Lead data and BI strategy and roadmap aligning analytics with enterprise priorities.
  • End-to-end delivery of advanced analytics projects, framing business questions and translating results into recommendations.
  • Develop and maintain data pipelines, models, and enterprise reporting foundations.
  • Collaborate with Data Engineering to co-develop scalable BI pipelines and dashboards.
  • Enforce enterprise BI standards, governance, and data integrity; enable stakeholders to use reports effectively.

Skills

SQL
ETL development
Power BI
Tableau
Data modeling
Forecasting
Statistical modeling
Machine learning
Stakeholder management
Leadership

Education

Bachelor's degree in Computer Science / IT / Analytics

Tools

SSIS
Azure Data Factory

Job description

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, manuf

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