Trading Merchandiser β€” Data-Driven Category Growth

Trading Merchandiser β€” Data-Driven Category Growth

Full-Time 30000 - 40000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Own product categories, analyse performance, and optimise stock for profitable trading.
  • Company: Join Damart, a forward-thinking company with a focus on data-driven growth.
  • Benefits: Enjoy hybrid working, competitive salary, and a supportive team environment.
  • Other info: 12-month contract with opportunities for career development.
  • Why this job: Make an impact by using data insights to drive sales and product success.
  • Qualifications: Analytical skills and a passion for merchandising are essential.

The predicted salary is between 30000 - 40000 Β£ per year.

Damart is seeking an ambitious Merchandiser to join our Trading & Merchandise team on a 12-month fixed-term contract.

The role is full-time (36.5 hours per week) with hybrid working: office Tue-Thu and home Mon and Fri.

You'll own designated product categories, analyse performance, forecast demand, and collaborate with suppliers to optimise stock and deliver profitable trading strategies.

You'll use data-driven insights to maximise sales and ensure the right products are in the right ranges at

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Trading Merchandiser β€” Data-Driven Category Growth employer: Damart

Join a dynamic and supportive team at our Steeton Logistics site, where we prioritise employee well-being and growth. As a Warehouse Operative, you'll enjoy competitive pay, free onsite parking, and access to subsidised meals in our canteen, all while working in a fast-paced environment that values accuracy and teamwork. With full training provided and opportunities to develop your skills, this is an excellent place for those seeking meaningful and rewarding employment.

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Contact Details:

Damart Recruitment Team

We think you need these skills to ace Trading Merchandiser β€” Data-Driven Category Growth

Data Analysis
Forecasting
Collaboration
Stock Optimisation
Trading Strategies
Performance Analysis
Category Management