Jobs in Canada

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VA
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Director, Data & Analytics
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Montreal, QC
- Full-time
Well-Being First: Access a comprehensive benefits program designed to take care of you.
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Reitmans (Canada) Ltée/Ltd

Director, Data & Analytics

250 Rue Sauvé Ouest, Montreal, QC, H3L 1Z2, Canada

Full-time

Apply on jobs.smartrecruiters.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 10+ years of demonstrated experience in advanced analytics, data science and/or data engineering, preferably in retail, with at least 3 years in a leadership role
Posting language: English
Posted: Nov 10, 2026

Original job description

Company Description

For 100 years, Reitmans (Canada) Limited (RCL) has defined the Canadian retail fashion landscape with its three iconic brands, Reitmans, RW&CO. and PENN. Penningtons. We're excited about what we’ll build together next.

Our vision is to empower Canadians to live confidently, and our mission is to create collections of uncompromising style and quality for all.

We believe great people do their best work alongside other great people. Here, you’ll have a voice, be challenged to grow and be part of a team driven by curiosity, bold thinking and ownership.

Come raise the bar of Canadian fashion with us.

Job Description

The Director, Data & Analytics leads the development and execution of RCL’s data and analytics strategy, enabling actionable insights to enhance customer engagement and overall business performance. The Director will champion a data-driven culture by ensuring accurate and consistent digital and ecommerce measurement, developing meaningful performance frameworks, and leveraging advanced analytics, experimentation, and emerging technologies to identify opportunities for growth and optimization.

Key Responsibilities:

Lead the enterprise Data & Analytics strategy and roadmap, establishing a clear vision, priorities, and multi-year roadmap for data, analytics, and AI capabilities aligned to RCL’s broader business strategy and growth objectives
Develop the organization’s data and AI maturity, fostering data literacy, enabling self-service analytics where appropriate, and building a culture in which teams across the enterprise use data and AI confidently and responsibly to inform decisions
Enable trusted, actionable business insights by establishing consistent metrics, reporting frameworks, dashboards, and analytical methodologies that enable leaders to understand performance and make informed decisions
Build excellent partnerships with leaders across the Digital, eComm, Retail, Merchandising, Marketing and Finance teams, to identify opportunities where data and analytics can improve customer experience, profitability, and operational performance
Strengthen digital and ecommerce analytics accuracy, ensuring robust measurement, tagging, tracking, attribution, and data quality across digital channels and ecommerce platforms to provide a reliable view of customer behaviour, channel performance, conversion, and the overall digital customer journey
Improve marketing and channel measurement, developing sophisticated approaches to attribution, incrementality, customer acquisition, retention, media effectiveness, and ROI to optimize investment across channels
Develop predictive and advanced analytics capabilities, including forecasting, segmentation, propensity modelling, experimentation, and AI/ML use cases that generate measurable business value
Translate complex analytical findings into clear business recommendations, effectively communicating insights and implications to executive and non-technical audiences
Establish enterprise-wide data governance and standards across RCL, including data definitions, quality standards, ownership, stewardship, accessibility, privacy, and governance practices that ensure data is trusted, consistent, secure, and fit for purpose across brands and functions.
Partner with Technology on data architecture and platforms, helping define the enterprise data ecosystem, architecture, platforms, infrastructure, and tooling required to enable scalable analytics, AI, reporting, and business intelligence capabilities
Build a high-performing analytics function, developing talent, ways of working, governance, and capabilities that enable the organization to become increasingly data-driven.
Champion a culture of experimentation and continuous improvement, using analytics, testing, and evidence-based learning to identify what works, scale successful initiatives, and improve business outcomes
Stay ahead of emerging technologies and methodology in data science and AI to bring the best innovation to RCL

Qualifications

10+ years of demonstrated experience in advanced analytics, data science and/or data engineering, preferably in retail, with at least 3 years in a leadership role
Bachelors degree in Data Science, Computer Science, Statistics, Engineering or Mathematics. MBA or equivalent experience preferred
Proven ability and experience leading teams to analyze customer data for actionable business insight
Strong SQL skills for querying relational databases
Deep expertise in Google Analytics and web analytics implementation
Experience using and implementing visualization tools like Tableau, MicroStrategy or Power BI
Experience with common machine learning libraries in R, Python, Spark is an asset
Strong critical thinking, analytical and problem-solving skills, and excellent attention to detail
Strong balance between the science of analytics, and the storytelling required to appropriately interpret business insights: skilled at turning complex analysis into simple conclusions and recommendations
Technical data science & analytics leadership: ability and desire to coach the team to build technical skills

Additional Information

What Sets Us Apart:

Ultimate Flexibility*: Enjoy a hybrid work environment that ensures the perfect balance between work and personal life.
Well-Being First: Access a comprehensive benefits program designed to take care of you.
Flexible Time Off*: Paid leave, sick days, and vacation time to recharge and spend quality time with loved ones.
Exclusive Discounts*: Enjoy 50% off regular-priced items from PENN. Penningtons, Reitmans, and RW&CO.
Referral Rewards*: Refer your professional network and earn a bonus for helping us grow our talented team
Growth opportunities*: Annual bonuses, career advancement, and tuition reimbursement to help you reach your professional goals.

*Certain conditions apply

Total rewards are aligned with your employment status, offering different perks depending on whether you're full-time, part-time, or under contract.

Reitmans (Canada) Limited is an equal opportunity employer committed to a diverse, inclusive, and accessible workplace where everyone belongs. If you are contacted for an employment opportunity, please advise us of any accommodation required throughout the recruitment process. All information provided will be kept confidential and used solely to support an accessible candidate's experience.

The use of Artificial Intelligence may be used for candidate screening purposes.

We thank all applicants. Only selected candidates will be contacted.

Business Type: Head Office - Corporate Services

Department ID: 21400 - EC-Strategic Insights

Job Type: New Position - HO/DC

Status: Permanent

Apply on jobs.smartrecruiters.com About employer

More about this job

Responsibilities

The Director leads the development and execution of the enterprise data and analytics strategy to drive business performance and customer engagement. They are responsible for building a data-driven culture, overseeing data governance, and partnering with cross-functional teams to implement AI and advanced analytical solutions.

Requirements

Candidates must have 10+ years of experience in advanced analytics, data science, or data engineering, with at least 3 years in a leadership role. A bachelor's degree in a quantitative field is required, with an MBA or equivalent experience preferred.

Skills

Data strategy
Analytics roadmap
AI maturity
Data literacy
SQL
Google Analytics
Web analytics
Tableau
MicroStrategy
Power BI
Python
R
Spark
Predictive modeling
Data governance
Storytelling

Benefits

Hybrid work environment
Paid leave
Sick days
Vacation time
Employee discounts
Referral rewards
Annual bonuses
Tuition reimbursement

Visa sponsorship

Not detected in the job text

Keywords

Data & Analytics
Retail
Strategy
AI
Machine Learning
Data Science
Data Engineering
SQL
Google Analytics
Web Analytics
Tableau
MicroStrategy
Power BI
Python
R
Spark
Data Governance
Ecommerce
Digital Marketing
Attribution
Segmentation
Forecasting
Business Intelligence
Data Architecture
Experimentation
Leadership
Retail Fashion
Customer Experience
ROI
Data Literacy

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Jobs in Canada