Merchandising Assistant - Data-Driven Buying (Hybrid)

Merchandising Assistant - Data-Driven Buying (Hybrid)

Full-Time 25000 - 32000 Β£ / year (est.) No working from home possible
Craster

At a Glance

  • Tasks: Support buying and merchandising teams by raising purchase orders and tracking data.
  • Company: Dynamic, design-led company in Greater London with a focus on innovation.
  • Benefits: Hybrid work model, opportunities for growth, and a creative work environment.
  • Other info: Perfect for those eager to learn and grow in the merchandising field.
  • Why this job: Join a team where your analytical skills can shine and make a real impact.
  • Qualifications: Strong analytical skills and familiarity with business systems like Acumatica and Power BI.

The predicted salary is between 25000 - 32000 Β£ per year.

CRASTER in Greater London is looking for a Merchandising Assistant to support the Buying and Merchandising teams. This role involves raising purchase orders, tracking data, and building cross-functional relationships to ensure accurate, timely merchandising processes.

The ideal candidate will have strong analytical skills, attention to detail, and be comfortable working with business systems like Acumatica and Power BI. This is a great opportunity for someone eager to grow in a dynamic, design-led company.

Merchandising Assistant - Data-Driven Buying (Hybrid) employer: Craster

CRASTER is an exceptional employer located in Greater London, offering a vibrant work culture that fosters creativity and collaboration. Employees benefit from comprehensive growth opportunities, including training in advanced business systems like Acumatica and Power BI, ensuring they are well-equipped for their roles. With a focus on design-led innovation, Craster provides a meaningful and rewarding environment for those looking to make an impact in the merchandising field.

Craster

Contact Details:

Craster Recruitment Team

We think you need these skills to ace Merchandising Assistant - Data-Driven Buying (Hybrid)

Communication Skills
Attention to Detail
Problem-Solving Skills
Time Management
Stakeholder Management
Analytical Skills
Python