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Customer Insights Analyst

Reitmans (Canada) Ltée/Ltd Open
Hybrid Montréal Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Reitmans (Canada) Ltée/Ltd. Montréal · full-time · no salary stated · we estimate CA$76,900–CA$77,500.

Estimated pay

Reitmans (Canada) Ltée/Ltd has not published a salary for this role. The figure below is our estimate, not theirs.

CA$76,900 – CA$77,500
What the middle half of mid-level data analysis & BI roles in Montréal paid, among postings that did state a salary.
Worked out from 5 postings that stated pay, median CA$77,500. Last updated Nov 5, 2026.
RoleData Analysis & BI
SeniorityMid-level
LocationMontréal
WorkplaceHybrid
EmploymentFull-time
PostedOct 16, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Analyze customer behavior across brands, channels and lifecycle stages to find growth opportunities and shifts in segment performance
  • Build customer groups and examine journeys, retention, churn and lifetime value to guide targeting and personalization
  • Create dashboards and automated reporting for customer KPIs, then assess email, personalization and loyalty results
  • Turn analysis into recommendations for campaigns, assortment, pricing, promotions and loyalty improvements
  • Partner with business and data teams to improve metric definitions, data quality and customer reporting

What you bring

  • A bachelor’s degree in analytics, statistics, marketing, economics, business or a related area
  • Three to five or more years in customer, CRM or marketing analytics, with SQL proficiency required
  • Experience with customer segmentation, cohort analysis and campaign measurement
  • French and English fluency for regular work with English-language teams, tools and content

Who this fits

This mid-level role suits an analyst who can connect customer data to business decisions and explain findings to technical and non-technical partners. It is hybrid in Montréal, and bilingual French-English communication is required.

From the employer

For 100 years, Reitmans (Canada) Limited (RCL) has defined the Canadian retail fashion landscape with its three iconic brands, Reitmans, RW&CO. and PENN. Penningtons. We're excited about what we’ll build together next. 

Our vision is to empower Canadians to live confidently, and our mission is to create collections of uncompromising style and quality for all.

We believe great people do their best work alongside other great people. Here, you’ll have a voice, be challenged to grow and be part of a team driven by curiosity, bold thinking and ownership.

Come raise the bar of Canadian fashion with us.

The Customer Insights Analyst plays a critical role in transforming customer, transactional, digital, and loyalty data into actionable insights that drive customer-centric decision-making across RCL brands. This role blends analytical rigour with strategic business acumen, to identify opportunities that improve customer acquisition, engagement, retention, and lifetime value. The analyst will partner closely with Marketing, Merchandising, Digital, Customer Engagement and Data & Analytics teams to deliver insights that shape strategy and drive growth.

Job Description:

Customer Insights & Analytics

  • Analyze customer behaviour across brands, channels, and lifecycle stages to uncover trends, segment performance, and opportunities for growth.
  • Develop and maintain customer segmentations to support targeted communications, personalization, and brand-level strategies.
  • Conduct deep-dive analyses into customer journeys, retention drivers, churn patterns, and customer lifetime value levers.
  • Deliver insights that inform campaign optimization, product assortment, pricing, promotions, and loyalty program enhancements.

Reporting & Performance Measurement

  • Build dashboards, reports, and automated insights that track customer KPIs (e.g., acquisition, retention, LTV, purchase frequency).
  • Measure and evaluate the effectiveness of email campaigns, personalization initiatives, and loyalty activities.
  • Translate complex data into clear, concise insights for stakeholders at all levels.

Collaboration & Business Partnership

  • Act as an analytical partner to Marketing, Digital, and Customer Engagement teams, helping them understand customer performance and identify opportunities for improvement.
  • Provide insight inputs for strategic planning, brand reviews, and customer growth initiatives.
  • Work with Data Engineering and Data Science teams to improve data quality, refine metrics, and develop advanced analytics solutions.

Data Expertise

  • Leverage customer, transactional, web, and loyalty datasets to build a holistic view of customer behaviour across the retail ecosystem.
  • Ensure reporting accuracy and data integrity, troubleshooting issues where needed.
  • Stay current with industry trends, analytical techniques, and retail customer insights best practices.

Qualifications

  • Bachelor’s degree in analytics, statistics, marketing, economics, business, or a related field (Master’s preferred).
  • 3–5+ years of experience in customer analytics, CRM analytics, or marketing analytics.
  • Proficiency in SQL (required); Python/R is a plus.
  • Expertise with BI tools (MicroStrategy, Power BI, Tableau, Looker).
  • Experience with customer segmentation, cohort analysis, and campaign measurement.
  • Familiarity with digital analytics tools (Google Analytics, Adobe Analytics).
  • Experience in retail, fashion, or e‑commerce (strong asset).
  • Bilingualism required (French/English), due to regular interactions with English‑language teams, tools, and content.

Interpersonal Competencies

  • Strong analytical thinking: ability to interpret, synthesize, and structure complex data.
  • Strong analytical storytelling: ability to translate data into clear narratives and strategic recommendations.
  • Customer‑centric mindset: passion for understanding customer behaviour and improving customer experience.
  • Analytical rigour: strong quantitative problem‑solving mindset.
  • Strategic business acumen: ability to tie insights to business outcomes.
  • Collaboration and communication: effective with both technical and non‑technical stakeholders.
  • Curiosity and proactivity: seeks opportunities, asks the right questions, identifies emerging trends.

What Sets Us Apart:

  • Ultimate Flexibility*: Enjoy a hybrid work environment that ensures the perfect balance between work and personal life.
  • Well-Being First: Access a comprehensive benefits program designed to take care of you.
  • Flexible Time Off*: Paid leave, sick days, and vacation time to recharge and spend quality time with loved ones.
  • Exclusive Discounts*: Enjoy 50% off regular-priced items from PENN. Penningtons, Reitmans, and RW&CO.
  • Referral Rewards*: Refer your professional network and earn a bonus for helping us grow our talented team
  • Growth opportunities*: Annual bonuses, career advancement, and tuition reimbursement to help you reach your professional goals.

*Certain conditions apply

Total rewards are aligned with your employment status, offering different perks depending on whether you're full-time, part-time, or under contract.

Reitmans (Canada) Limited is an equal opportunity employer committed to a diverse, inclusive, and accessible workplace where everyone belongs. If you are contacted for an employment opportunity, please advise us of any accommodation required throughout the recruitment process. All information provided will be kept confidential and used solely to support an accessible candidate's experience.

The use of Artificial Intelligence may be used for candidate screening purposes.

We thank all applicants. Only selected candidates will be contacted.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.