Vatting & Inventory Analyst – Spirits Blends in Dumbarton

Vatting & Inventory Analyst – Spirits Blends in Dumbarton

Dumbarton Full-Time 31500 - 38500 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Prepare vatting instructions and analyse inventory for quality blends.
  • Company: Join Pernod Ricard, a leader in the spirits industry.
  • Benefits: Fixed-term contract until Aug 2027 with competitive pay.
  • Other info: Fast-paced environment with opportunities for growth and collaboration.
  • Why this job: Be part of a dynamic team shaping the future of spirits blending.
  • Qualifications: Strong Excel/Power BI skills and attention to detail required.

The predicted salary is between 31500 - 38500 £ per year.

Pernod Ricard España SA is seeking a skilled Analyst (Vatting Instruction) to support blending and inventory management at Kilmalid, Dumbarton.

You will prepare vatting instructions and analyse maturing inventory to meet short and long-term demand while maintaining quality across a large portfolio of blends.

The role requires strong Excel/Power BI capability, collaboration with Blenders and BOM teams, and attention to accuracy in a fast-moving environment.

Fixed-term contract through Aug 2027.

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Vatting & Inventory Analyst – Spirits Blends in Dumbarton employer: Pernod Ricard España SA

Pernod Ricard España SA is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from extensive growth opportunities within a global framework, particularly in leading transformative projects like the ERP initiative for the Gold and Crystal Brand Units. With a commitment to employee development and a focus on strategic change management, this role promises a rewarding experience in a vibrant and supportive environment.

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Contact Details:

Pernod Ricard España SA Recruitment Team

We think you need these skills to ace Vatting & Inventory Analyst – Spirits Blends in Dumbarton

Excel
Power BI
Inventory Management
Vatting Instructions Preparation
Data Analysis
Collaboration Skills
Attention to Accuracy