Senior Manager, Data Analytics

Groupe Dynamite Inc.; Mount Royal; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading fashion retailer in Montreal is seeking a Senior Manager, Data Analytics to lead a team of over 10 individuals in BI reporting and insights generation. This role requires strong technical skills in Python and SQL, extensive experience in data analytics, and the ability to mentor and drive data-informed decision-making across the organization. The ideal candidate will collaborate heavily with various departments, have a passion for retail, and be available to work on-site at least four days a week.

Benefits

Performance-driven bonuses

Group retirement savings program with employer matching

Flexible group insurance

Employee discount at Garage and Dynamite

Exclusive private sample sales

Flexible vacation policy

Qualifications

• 8+ years of experience in data analytics or science, with at least 3 years in a managerial capacity.
• Advanced expertise in Python and SQL for data manipulation and analysis.
• Hands-on experience with Snowflake, DBT, and Sigma or similar BI tools.

Responsibilities

• Lead and mentor a high-performing team to foster a culture of ownership and continuous improvement.
• Define and execute an analytics roadmap leveraging automation to solve complex problems.
• Partner with stakeholders to align on business goals and define meaningful metrics.

Skills

Leadership

Data analysis

Python

SQL

Communication

Education

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field

Tools

Python

SQL

Snowflake

DBT

Sigma

JIRA

Job description

Overview

Groupe Dynamite Inc. (GDI) is a Montréal-based, public company of integrated omni-channel brands, designing and distributing accessible, trend-forward fashion for women since 1975. Our mission of "Empowering YOU to be YOU, one outfit at a time" is brought to life through the GARAGE and DYNAMITE banners and represents the consumer-centric core of GDI's long-standing success as a leading retailer in North America. Today, GDI operates nearly 300 stores across Canada and the United States, as well as shoppable brand experiences at Garageclothing.com and Dynamiteclothing.com.

Job Summary: We're looking for a Senior Manager, Data Analytics to lead a high-impact team of over 10 Data Analysts, Data Engineers, and Analytics Engineers supporting company-wide BI reporting and deep insights generation. This role blends strategic leadership and hands-on execution, with a 30:70 ratio of individual contributor to management responsibilities, and requires strong technical acumen and experience managing teams in fast-paced environments. The ideal candidate is passionate about the retail industry and thrives on in-person collaboration, spending at least four days a week in our vibrant office engaging with their team, stakeholders, and peers. You'll report directly to the Senior Director of Data, Analytics, and AI, helping shape the future of data-driven decision-making across the company.

Responsibilities

• Lead and mentor a high-performing team, instilling modern data principles and engineering excellence while fostering a culture of ownership, experimentation, and continuous improvement;
• Define and execute a forward-looking analytics roadmap that leverages automation and robust documentation to solve complex problems and scale self-serve analytics across the enterprise;
• Conduct structured performance evaluations, establish clear KPIs, and create professional development plans to elevate team capabilities and accountability across analytics and data engineering disciplines;
• Work with the Data Governance Manager and Senior Database Administrator to enforce robust data governance, security, and compliance standards across analytical workflows, ensuring integrity and trust in our data;
• Partner with stakeholders across IT, digital marketing, planning, allocation, sales operations, finance, and logistics to align on business goals and define meaningful, outcome-driven metrics;
• Lead your team beyond traditional reporting by driving data-informed decision-making and delivering actionable insights and strategic recommendations;
• Design and optimize scalable data models and pipelines using Python, DBT, and Snowflake;
• Enable high-performance analytics, query tuning, and the adoption of modern BI platforms like Sigma or equivalent.

Qualifications

• Bachelor\'s or Master\'s degree in Data Science, Computer Science, Statistics, or a related field;
• 8+ years of experience in data analytics or science, with at least 3 years in a managerial capacity;
• Advanced expertise in Python and SQL for data manipulation and analysis;
• Hands-on experience with Snowflake, DBT, and Sigma or similar BI tools for data modelling and visualization;
• Strong communication skills, with the ability to actively participate in cross-functional meetings and present findings and recommendations to senior leadership;
• Proven ability to lead and mentor cross-functional teams, fostering a culture of data-driven decision-making;
• Demonstrated success in developing and executing analytics roadmaps aligned with business objectives;
• Familiarity with JIRA;
• Strong understanding of data governance, security, and compliance standards to ensure data integrity and trustworthiness;
• Familiarity with retail industry metrics and operations is a plus;
• Comfortable working in a fast-paced setting and available to work on-site 4 days a week.

Benefits

• A comprehensive compensation package that includes performance-driven bonuses;
• A group retirement savings program with employer matching;
• Flexible group insurance with personalized coverage that meets your needs;
• An employee discount at Garage and Dynamite;
• Exclusive private sample sales;
• A flexible vacation policy;
• And more!

GDI has been repeatedly voted one of Montréal's Top Employers and one of Canada's Top Employers for Young People.

Our promise...
No day will be like the last—we aim to be better today than we were yesterday. We are committed to employment equity.

Candidates that are retained will be called for an interview.

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