
Manager, Data Science and Analytics
- Montreal, QC
- Permanent
- Full-time
- We make our clients successful - we do what's right for our customers, even when it makes our roles more challenging.
- We execute and deliver - we set ambitious goals for ourselves and are energized about meeting them.
- We debate, then commit - we challenge our own perspectives and ideas in pursuit of the best solutions.
- We innovate to inspire - we value innovation in products, user experiences, and business practices.
- We collaborate to achieve more - we work as one team to achieve more than we would on our own.
- We empower our people to reach their full potential - we hold ourselves to high standards but know when to celebrate progress & achievements
- Manage, mentor, and grow a high-performing data team, while contributing directly to analytics and data science initiatives. Promote best practices in data management and modeling.
- Partner with business leaders to understand critical data needs, define priorities, and ensure alignment between analytics initiatives and strategic goals.
- Own the analytics roadmap and sprint planning processes. Balance quick wins with long-term capability building in line with evolving business needs.
- Drive complex data modelling and advanced analytics initiatives (including statistical modelling, forecasting, and clustering) to identify trends, optimize performance and drive growth.
- Lead the development of data visualization strategies, dashboards, and KPIs that deliver actionable insights and drive strategic business decisions.
- Translate complex analytics into actionable recommendations for executive leadership and key stakeholders.
- Own the development, reliability, and scalability of the company's data infrastructure, including the data warehouse, ETL/ELT pipelines, and source system integrations.
- Ensure data accuracy and consistency while adhering to compliance and governance standards.
- Maintain documentation for data architecture, processes, and analytics methodologies.
- 5-7 years of hands-on experience in data science or analytics, with a proven ability to lead projects, manage teams and influence business decisions.
- Bachelor's degree in Engineering, Computer Science, Data Science, Business ANalytics Mathematics, Statistics, or a related field
- Strong technical foundation with proficiency in Python, SQL and BI tools (i.e. Power BI/Looker).
- Proven experience with data warehousing concepts, ETL processes, and data modelling techniques (i.e. Snowflake, Airbyte, AWS)
- Deep knowledge of statistical techniques, regression modeling, and machine learning methods (e.g., clustering, decision trees, neural networks).
- Excellent communication and collaboration skills, with a passion for translating data into actionable insights for non-technical stakeholders. Bilingual (English/French) is a strong asset.
- Curious, entrepreneurial, and hands-on - driven to build data capabilities from the ground up.
- Flexible paid time off.
- Global comprehensive health plans so you feel your best.
- Complimentary beverages and snacks so that you are fuelled and ready for your day.
- Career growth opportunities. Your future matters.
- Fun-filled social events curated based on diverse interests for our team to celebrate together. From sponsored sports teams to trivia nights.
- Time off to volunteer and give back to your community.
- Initial Call
- Team interview
- Challenge
- Final Interview
- Decision & Offer