Customer Insights & Analytics Manager – Bilingual

Customer Insights & Analytics Manager

We are a leading women’s fashion retailer with a strong presence in malls across Canada. As we expand our Digital Marketing and E-Commerce team, we are focused on creating a modern, engaging, and seamless customer experience across all digital touchpoints. Our goal is to reinvent the digital shopping journey, making it both remarkable and best-in-class.

We are seeking talented, driven professionals to join our team—individuals who bring expertise, passion, and a track record of excellence in digital retail. If you’re looking for an opportunity to elevate your career and be part of something transformative, we’d love to hear from you.

Job Summary

We are seeking a Customer Insights & Analytics Manager to lead data-driven initiatives that enhance customer understanding and business performance. This role is responsible for developing analytics frameworks, building dashboards, and driving customer segmentation strategies across digital and in-store channels. The ideal candidate has a strong analytical background, expertise in customer data platforms (CDPs), and a proven ability to translate insights into actionable strategies that fuel engagement, retention, and revenue growth.

Working cross-functionally with Ecommerce, Marketing, CRM, and Merchandising teams, this individual will be instrumental in optimizing customer experiences through customized reporting, cross-channel insights, and predictive analytics.

Key Responsibilities

Customer Insights & Data Strategy

• Develop and execute a customer analytics strategy to optimize engagement, retention, and revenue growth.
• Leverage data to uncover insights on customer behavior, shopping patterns, and lifetime value (LTV).
• Establish and refine customer segmentation models to drive personalized marketing and product recommendations.
• Utilize predictive analytics to forecast trends, identify high-value customers, and inform strategic decision-making.

Dashboard & Reporting Development

• Design and build interactive dashboards to provide real-time insights into customer performance, campaign effectiveness, and revenue impact.
• Develop standardized and ad-hoc reporting for stakeholders across Marketing, Ecommerce, and Retail teams.
• Ensure data accuracy and integrity, troubleshooting discrepancies across different reporting systems.
• Partner with IT and data teams to enhance reporting infrastructure and integration of analytics tools.

Cross-Channel & Personalization Strategy

• Optimize the customer journey across multiple channels (Ecommerce, Email, SMS, Paid Media, Retail) by integrating insights into campaigns.
• Implement customer personalization strategies, leveraging data to tailor experiences across digital touchpoints.
• Collaborate with CRM and Marketing teams to enhance loyalty programs and lifecycle marketing initiatives.
• Work closely with Merchandising and Product teams to align data-driven product recommendations with consumer demand.

Performance Analysis & Optimization

• Monitor and analyze key performance indicators (conversion rates, retention rates, AOV, ROAS, churn).
• Conduct A/B and multivariate testing to optimize campaigns, promotions, and product assortments.
• Present insights and recommendations to leadership to drive data-informed business decisions.
• Stay up-to-date on industry trends, tools, and best practices in customer analytics and data science.

Qualifications & Experience

• 5+ years of experience in customer analytics, data science, or business intelligence, preferably in retail or ecommerce.
• Strong experience with data visualization tools (Tableau, Power BI, Google Looker Studio) and CRM platforms (Klaviyo is preferred)
• Deep understanding of customer segmentation, personalization, and omnichannel analytics.
• Experience in building and optimizing dashboards to support data-driven decision-making.
• Strong knowledge of Google Analytics, Shopify analytics, and attribution modeling.
• Ability to communicate complex data insights in a clear, actionable manner to non-technical teams.
• A results-oriented mindset with the ability to manage multiple priorities in a fast-paced environment.
• Knowledge of SQL, Python, or R for data analysis and querying is an asset.
• Bachelor’s degree in Data Science, Marketing Analytics, Business Intelligence, or a related field.

Why Join Us?

• Work with a fast-growing fashion retailer that values innovation and data-driven decision-making.
• Opportunity to shape the company’s analytics strategy and make a direct impact on business growth.
• A collaborative, forward-thinking environment with exposure to cross-functional teams.
• Competitive salary, benefits, and career growth opportunities.