EMEA Retail Allocator & Inventory Optimizer

Skims

Greater London

Hybrid

GBP 38,000 - 60,000

Full time

14 days+

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Benefits offered by this job

Private Medical Insurance (PMI)
Group Life Assurance
Income Protection
Critical Illness
Pension Scheme
Modern Health
ClassPass

Job summary

SKIMS is seeking a highly analytical Retail Allocator for the EMEA region to ensure the right product is in the right stores at the right time. You will optimize inventory productivity across owned stores while supporting new growth, working with Planning, Buying, Merchandising, Retail Operations and Supply Chain.

The ideal candidate is commercially minded with strong data experience, excels in a fast-paced environment, and communicates effectively across teams to maximize sales and stock

Qualifications

  • 2–5 years of allocation, merchandise planning, or retail planning experience.
  • Experience supporting a multi-store retail business, preferably fashion or consumer goods.
  • Strong understanding of inventory replenishment and stock optimization.
  • Advanced Excel skills with data analysis and reporting.

Responsibilities

  • Execute daily/weekly allocations across EMEA stores to maximize sales.
  • Monitor stock levels, sell-through, weeks of supply, and replenishment needs.
  • Allocate launches, seasonal stock, and promotions based on forecasts.
  • Analyze performance by store/region/product and propose optimizations.
  • Collaborate with Planning, Buying and Merchandising to balance inventory.

Skills

Allocation experience
Retail planning
Advanced Excel
ERP/planning systems
Data-driven decisions

Tools

SAP
Oracle
NetSuite
Blue Yonder
Anaplan

Job description

SKIMS is seeking a highly analytical Retail Allocator for the EMEA region to ensure the right product is in the right stores at the right time. You will optimize inventory productivity across owned stores while supporting new growth, working with Planning, Buying, Merchandising, Retail Operations and Supply Chain.

The ideal candidate is commercially minded with strong data experience, excels in a fast-paced environment, and communicates effectively across teams to maximize sales and stock

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