DATA AND ANALYTICS DIRECTOR-EN
- Montreal, QC, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
- 50% discount on all products
- Flexible hours
- Opportunities for advancement within the company
- Being part of a family-owned business committed to the community
- Performance bonuses (in-store sales or management position)
- Recognition program for years of service
- Innovation program to encourage idea sharing
- Referral bonus
- Dayforce Wallet (pay on demand: you’ll be able to access a portion of your pay as soon as your shift ends)
- Group insurance plan
- Three (3) to five (5) paid personal days (depending on the position)
- Minimum of 2% employer contribution to your RRSP
For years now, we’ve been designing lingerie and swimwear for everyday living. Why do we do what we do? Because we want women around the world to look and feel their best! Join our dynamic team to start a stimulating professional career in a committed and constantly evolving environment.
We’re a proudly local company with more than 5000 employees and more than 300 stores across Canada and in 19 countries around the globe (100 stores).
Purpose of the role
At Vie en Rose, our Data and Analytics team plays a central role as a Center of Excellence, guiding and propelling our various business units through strategic data utilization. We are the guardians of industry best practices, ensuring that governance practices are followed, and that data valuation is at the heart of our daily operations. As the leader of the Data and Analytics function, you will be responsible for leading a dedicated team focused on leveraging data to support strategic decision-making. You will work closely with our different business units while overseeing the evolution of our data ecosystem and ensuring compliance with governance standards.
Key Responsibilities
- Develop and implement a data strategy aligned with the company’s objectives.
- Mentor and develop a multidisciplinary team of data professionals, ensuring their growth and team cohesion.
- Collaborate with IT teams, data architects, and business units to ensure the performance and evolution of the data and business intelligence environment.
- Lead data governance initiatives to ensure a secure, accessible, and scalable data environment.
- Manage external partnerships with data and analytics solution providers.
- Oversee the creation of advanced reports, dashboards, and in-depth analyses to support business decisions.
- Drive cross-functional analytical projects with business and technical teams.
- Supervise and coordinate the BI super-users community within business units, aligning processes and avoiding information duplication.
- Periodically audit data usage in each department and propose recommendations to maximize relevance.
- Contribute to the integration of artificial intelligence into enterprise analytics projects.
- Train, guide, and support users of business intelligence tools, particularly Power BI.
- Innovate in data management and stay updated on emerging trends and technologies.
- Excellent interpersonal skills: You understand the challenges of different business units and build trusting relationships with stakeholders.
- Skilled communicator: You can explain complex technical concepts in a simple manner, in both French and English.
- Good understanding of modeling and ETL processes: While you are not an architect, you have a solid grasp of the architecture of a data environment.
- Interest in advanced analytics: You are passionate about applying analytics in a business context.
- Curiosity and analytical mindset: You enjoy diving into data, asking the right questions, and identifying underlying issues.
- Strategic and organizational vision: You know how to prioritize projects and manage processes to ensure quality delivery within appropriate timelines.
- Bachelor’s or Master’s degree in a relevant field (business intelligence, analytics, statistics, management, etc.);
- 7 to 10 years of relevant experience in the role, with experience in retail being a plus;
- A minimum of 3 years of experience in employee management;
- Knowledge of Microsoft suite tools (Power BI, Purview, Azure DevOps, Azure ML, etc.) or their equivalents;
- Ability to manage different databases, perform extractions, and handle FTP files;
- Knowledge of data manipulation and advanced analytics languages (SQL, DAX, Python, etc.).
#TI
The information on this site is for information purposes only and is not intended to have legal consequences. This is an ongoing role rather than a newly created position. La Vie en Rose is committed to employment equity. La Vie en Rose has put in place an adaptation process that provides accommodation for selected candidates for an interview.
More about this job
Responsibilities
Lead the data and analytics function, develop a company-aligned data strategy, and manage a multidisciplinary team while advancing the data and business intelligence environment. Oversee governance, analytics projects, reporting, vendor partnerships, BI super-users, user training, and the integration of AI into enterprise analytics.
Requirements
A bachelor's or master's degree in a relevant field and 7–10 years of relevant experience are required, including at least three years managing employees; retail experience is an asset. Candidates should understand data modeling and ETL, be familiar with Microsoft data and analytics tools or equivalents, and have experience with databases, data extraction, FTP files, SQL, DAX, or Python.
Skills
- Data Strategy
- Data Governance
- Business Intelligence
- Power BI
- Data Modeling
- ETL Processes
- SQL
- DAX
- Python
- Advanced Analytics
- Data Management
- Artificial Intelligence
- Dashboard Development
- Team Leadership
- Stakeholder Collaboration
- Database Management
Benefits
- 50% Product Discount
- Flexible Hours
- Advancement Opportunities
- Performance Bonuses
- Years-of-Service Recognition Program
- Innovation Program
- Referral Bonus
- On-Demand Pay
- Group Insurance Plan
- Paid Personal Days
- Employer RRSP Contribution
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Management & Leadership
- Technology
- Retail
Keywords
- Data Strategy
- Data Governance
- Data Valuation
- Business Intelligence
- Power BI
- Microsoft Purview
- Azure DevOps
- Azure Machine Learning
- Data Modeling
- ETL
- SQL
- DAX
- Python
- Advanced Analytics
- Artificial Intelligence
- Data Ecosystem
- Dashboards
- Reporting
- Database Management
- Data Extraction
- FTP
- Retail
- Vendor Management
- Team Management
- Cross-Functional Projects