Hybrid Fashion Allocation Analyst in Montréal

Hybrid Fashion Allocation Analyst in Montréal

Montréal Full-Time 62100 - 75900 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Translate sales insights into action for fashion inventory and allocation.
  • Company: Join Reitmans, a leading Canadian fashion retailer with a collaborative vibe.
  • Benefits: Enjoy growth opportunities, competitive perks, and a dynamic work environment.
  • Other info: Be part of a supportive team focused on seasonal strategies and goals.
  • Why this job: Blend your passion for fashion with analytics to make a real impact.
  • Qualifications: Strong analytical skills and a love for fashion are key.

The predicted salary is between 62100 - 75900 $ per year.

Reitmans (Canada) Limited, the parent of RW&CO, PENN and Reitmans, is hiring an Allocation Analyst.

You will translate sales and inventory insights into action, ensuring the right styles, sizes, and quantities are where they need to be.

You will work with Buying, Planning and Merchandising to align on seasonal strategies and goals.

This role blends fashion with analytics, offering growth in merchandise allocation and inventory analysis within a collaborative team.

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Hybrid Fashion Allocation Analyst in Montréal employer: Reitmans (Canada) Limited

Reitmans (Canada) Limited’s Penningtons store in Winnipeg is an excellent employer that prioritizes a customer-first approach while fostering a supportive and inclusive work environment. With flexible hours and a generous 70% discount, employees enjoy a healthy work-life balance and the opportunity to grow their fashion expertise in a vibrant team culture. The company is dedicated to empowering its associates, making it a rewarding place for those passionate about helping others feel confident in their style.

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Contact Details:

Reitmans (Canada) Limited Recruitment Team

We think you need these skills to ace Hybrid Fashion Allocation Analyst in Montréal

Sales Analysis
Inventory Management
Merchandise Allocation
Collaboration
Analytical Skills
Fashion Knowledge
Data Interpretation