Network Planner: Data-Driven Distribution & NDC Optimisation

Marks and Spencer

City Of London

Hybride

GBP 38 000 - 54 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Discount benefit
Holiday allowance
Bonus schemes
Pension
Induction and training
Wellbeing support
Volunteer day
Parental leave

Résumé du poste

Marks & Spencer in London is seeking a Network Planner to optimise end-to-end goods flow across our distribution network, enabling stores to receive what they need when they need it. You will support the transformation of our supply chain and the rollout of new National Distribution Centres, using data and collaboration to remove blockers and improve resilience.

The role requires strong numerical ability, advanced Excel skills and a collaborative mindset.

Qualifications

  • Strong collaboration across Supply Chain, Logistics, Finance.
  • Highly numerate with a data-driven mindset.
  • Advanced Excel skills are essential.
  • Ability to translate data and inputs into actionable insights.

Responsabilités

  • Strengthen partnerships across Supply Chain, Logistics, Category and Finance to enable better decisions.
  • Develop and deliver a proactive flow optimisation framework identifying constraints across the network.
  • Use data and insight to optimise volume flow through National Distribution Centres (NDCs) and Regional Distribution Centres (RDCs).
  • Improve processes and management information to raise insight quality and reduce manual effort.
  • Support the transition into new National Distribution Centres (NDCs) and ongoing improvement.

Connaissances

Analytical mindset
Advanced Excel
Data storytelling
Collaborative approach
Clear communication

Outils

Excel

Description du poste

Marks & Spencer in London is seeking a Network Planner to optimise end-to-end goods flow across our distribution network, enabling stores to receive what they need when they need it. You will support the transformation of our supply chain and the rollout of new National Distribution Centres, using data and collaboration to remove blockers and improve resilience.

The role requires strong numerical ability, advanced Excel skills and a collaborative mindset.

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