Senior Specialist - Allocation Analyst

This role combines strong analytical thinking with commercial understanding to ensure inventory is positioned effectively across stores. It sits at the intersection of planning, retail, and operations, helping the business move toward more data-driven and AI-powered, responsive allocation decisions. The position supports better product availability, reduces inefficiencies, and enables more responsive decision-making across the AMER region.

• Support the shift from forecast-driven to demand-led replenishment by using data and system insights to refine allocation decisions over the season.
• Contribute to the transition to a fully AI-powered allocation system and act as a point of reference for best practices in allocation.
• Analyse sales, stock, and size performance at SKU and store level, identifying missed sales opportunities and stock imbalances and providing actionable insights to improve performance.
• Manage allocation and replenishment to ensure the right product is in the right place, monitoring performance and adjusting flows based on sales and stock levels.
• Support store-level execution of allocation and replenishment plans.
• Support communication between central and local teams through clear and positive communication, simplifying complex topics.
• Analyse in-season business performance and coordinate action plans to improve business performance.
• Deploy and operate next-generation allocation capabilities across the AMER region.
• Collaborate closely with Retail, Planning, Supply Chain, and Data teams to ensure inventory supports business performance across diverse markets.
• Act as a key partner between merchandising, retail, and operations.

• 5+ years in Retail Allocation, Retail Planning, or Retail Analytics experience, within apparel, footwear or lifestyle brands.
• Strong analytical mindset with attention to detail and strong understanding of retail KPIs (sell-through, stock cover, size performance).
• Experience with next generation AI-powered allocation systems.
• Able to identify risks and opportunities early and act accordingly.
• Open to change, with a continuous improvement mindset.
• Advanced Excel/Google Sheets and BI tools (Tableau/Power BI).
• Curious, detail-oriented thinker who combines sharp analytical skills with a collaborative mindset, and is great at finding opportunities in data, streamlining processes, and working closely with teams to build better solutions.

• SQL, Python, or web reporting.
• Preferred degree in Analytics, Data Science, Economics, Statistics, or Information Design.

• Typical cash compensation range for this position inclusive of base + bonus: $113,000 - $141,000.
• Individual compensation packages are based on various factors unique to each candidate including experience, industry knowledge, qualifications, skill set, and location.
• Certain roles may be eligible for equity compensation in addition to cash compensation.

• Competitive benefits package including medical, dental, and vision benefits.
• Industry leading PTO package.
• Competitive 401k program.
• 11 paid US holidays.
• Corporate office closure between Christmas and New Year.
• Product perks.
• Access to personal self-care for physical and mental well-being.