Forecast & Inventory Lead β€” Hybrid (Avonmouth) in Bristol

Forecast & Inventory Lead β€” Hybrid (Avonmouth) in Bristol

Bristol Full-Time 30000 - 40000 Β£ / year (est.) No working from home possible
Nisbets

At a Glance

  • Tasks: Forecast demand and manage stock health for our diverse product range.
  • Company: Join Nisbets Limited, a leader in the inventory management sector.
  • Benefits: Enjoy hybrid working, competitive pay, and a supportive team environment.
  • Other info: Fast-paced role with opportunities for growth and development.
  • Why this job: Make a real impact on stock availability and work with various teams.
  • Qualifications: Strong analytical skills and attention to detail are essential.

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

Nisbets Limited is seeking a Demand Planner to join our Inventory team on a maternity cover basis, supporting forecasting and stock management across our product portfolio.

Based in Avonmouth with hybrid flexibility, you will forecast demand, manage stock health, and partner with Category, Product, Supply Chain, and suppliers to keep products available.

This fast-paced, analytical role requires strong attention to detail and the ability to influence across functions.

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Forecast & Inventory Lead β€” Hybrid (Avonmouth) in Bristol employer: Nisbets

Nisbets Limited is an excellent employer, offering a dynamic work environment in Bristol where innovation and teamwork thrive. With a strong focus on employee development, you will have access to growth opportunities and training that empower you to excel in your role as a Multisite Warehouse Operations Lead. The company promotes a culture of safety and high performance, ensuring that every team member feels valued and motivated to contribute to our shared success.

Nisbets

Contact Details:

Nisbets Recruitment Team

We think you need these skills to ace Forecast & Inventory Lead β€” Hybrid (Avonmouth) in Bristol

Forecasting
Stock Management
Analytical Skills
Attention to Detail
Influencing Skills
Cross-Functional Collaboration
Demand Planning