Director, Data & Analytics
- Montreal, QC, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- 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
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
What Sets Us Apart:
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.
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
- 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
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
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.
More about this job
Responsibilities
Lead the enterprise data and analytics strategy, building capabilities in analytics, AI, governance, measurement, and reporting to support business growth and informed decision-making. Partner with business and technology leaders, develop a high-performing analytics team, and use experimentation and advanced analytics to improve customer experience, marketing effectiveness, profitability, and operations.
Requirements
Requires 10 or more years of experience in advanced analytics, data science, or data engineering, including at least three years in a leadership role; retail experience is preferred. A bachelor's degree in a relevant quantitative or technical field is required, with an MBA or equivalent experience preferred, along with strong SQL, Google Analytics, web analytics implementation, visualization, analytical communication, and team coaching capabilities.
Skills
- Data And Analytics Strategy
- Advanced Analytics
- Data Science
- Data Engineering
- SQL
- Google Analytics
- Web Analytics Implementation
- Data Visualization
- Machine Learning
- Predictive Analytics
- Data Governance
- Digital And Ecommerce Measurement
- Marketing Attribution
- Experimentation
- Team Leadership And Coaching
- Business Storytelling
Benefits
- Hybrid Work Environment
- Paid Leave
- Sick Days
- Vacation Time
- Employee Discounts
- Referral Rewards
- Annual Bonuses
- Career Advancement Opportunities
- Tuition Reimbursement
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Management & Leadership
- Retail
- Technology
- Marketing
Keywords
- Data And Analytics Strategy
- Data Science
- Data Engineering
- Artificial Intelligence
- Advanced Analytics
- SQL
- Google Analytics
- Web Analytics
- Tableau
- MicroStrategy
- Power BI
- Machine Learning
- R
- Python
- Spark
- Predictive Analytics
- Forecasting
- Customer Segmentation
- Propensity Modeling
- Experimentation
- Digital Analytics
- Ecommerce Analytics
- Marketing Attribution
- Incrementality
- Customer Acquisition
- Customer Retention
- Media Effectiveness
- Data Governance
- Data Quality
- Data Architecture