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:

Reporting to the Manager, Marketing Analytics & Experimentation, the Analyst, Customer Insights & Predictive Analytics will support the development of customer-centric growth strategies through advanced data analysis, segmentation, and predictive modelling. This role will act as a key contributor in translating customer behaviour insights into measurable retention and revenue-driving initiatives.

The Digital Analytics & Experimentation team is responsible for driving acquisition, retention, and incrementality measurement through data science, experimentation, and commercial analytics. The Customer Insight function focuses on understanding customer behaviour, lifecycle dynamics, and value creation opportunities to inform CRM, personalization, and retention strategies across the organization.

Roles & Responsibilities

• Predictive modelling and customer analytics – Design and maintain predictive models (churn, lifetime value, win-back probability) to identify high-value and at-risk customer segments. Apply statistical and machine learning techniques using SQL and Python/R to support retention and revenue growth strategies.
• Segmentation and cohort strategy – Develop and refine behavioural and lifecycle segmentation frameworks to inform CRM activation, personalization initiatives, and targeted marketing strategies. Conduct cohort tracking and performance analysis to identify incremental opportunities.
• Experiment design and statistical methodology – Design and support statistically valid A/B and quasi-experimental testing frameworks across marketing, retention, and product initiatives. Conduct power calculations, sample size planning, and hypothesis testing to ensure reliability and credibility of results.
• Customer data enablement – Collaborate with CRM, Paid Media, and Data teams to ensure customer data structures support predictive modelling, segmentation, and advanced analysis. Contribute to documentation and best practices related to customer analytics methodologies.
• Incrementality and hybrid measurement support – Partner with the Sr. Analyst, Advertising, and Sr. Analyst, Customer Insight, to design experiments informed by advanced marketing analytics and predictive insights. Support the validation and quantification of incremental impact across acquisition and retention initiatives.
• Insight validation and interpretation – Analyze qualitative and quantitative research outputs using SQL, Python, or R. Translate findings into measurable experimentation roadmaps and commercially focused recommendations.
• Measurement governance and documentation – Document experimentation standards, research methodologies, and analytical frameworks to promote consistency, transparency, and trust in organizational decision-making.
• Business partnership and insight translation – Translate complex analytical outputs into clear, actionable recommendations for Marketing, CRM, Product, and Leadership stakeholders. Present findings with structured visualizations that connect customer insights to commercial outcomes.

Qualifications

• 3–5 years of experience in customer analytics, CRM analytics, or a similar quantitative role;
• Strong foundation in statistical methods, regression, classification, and cohort analysis;
• Strong proficiency in SQL and statistical analysis;
• Experience using Python or R for predictive modelling, advanced analysis, quantitative experimentation analysis, and qualitative research interpretation;
• Solid understanding of experimental design, hypothesis testing, and power analysis;
• Hands-on experience designing and analyzing experiments and applying causal inference principles to measure incremental impact;
• Ability to translate analytical findings into actionable business recommendations;
• Experience working with large customer datasets and segmentation frameworks;
• Strong attention to detail and commitment to data accuracy and methodological rigour;
• Ability to communicate effectively with cross-functional stakeholders;
• Autonomous, proactive, and able to manage multiple priorities simultaneously;
• Strong knowledge of GA4, experimentation frameworks, and causal inference principles;
• Prior experience in consumer analytics within fashion retail or E-commerce is an asset.

At GDI, you will be part of a growing organization that understands the importance of investing in people and offers you:

• 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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