Retail Allocation Analyst
Listed on 2026-10-09
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IT/Tech
Data Analyst, Business Intelligence
At a Glance
As a Retail Allocator, you will combine analytical thinking with commercial insights to maximize in-season performance. Bridging planning, retail, and operations, you will support the EMEA region's transition to a fully AI-powered allocation system. In this role, you will help to drive highly responsive, data-driven decisions and leverage advanced analytics tools to optimize product availability and commercial growth.
Meet the TeamHelp shape and scale a modern allocation function for a fast-growing brand across the EMEA region. In this role, you will support the transition to and operate our new AI-powered allocation solution, while partnering with Merchandising, Retail, Operations, and Supply Chain to boost regional performance. This role reports to the Manager of Planning and Allocation, EMEA.
Your Mission- Inventory Maximization:
Optimize in-season stock utilization and strategically manage end-of-season inventory to protect margins. - AI Transition:
Help support our transition to a fully AI-powered allocation system, refining logic and championing new tool adoption. - Trading & Analytics:
Use data to evaluate in-season performance, driving commercial reviews, test-and-learn initiatives, and clear action plans. - Insights & Communication:
Translate complex datasets into clear, visual, and actionable recommendations for merchandising, planning, and operations.
- Experience:
Proven experience in data management and analytics. Experience in apparel or footwear is a plus. - Technical
Skills:
Advanced Excel/Google Sheets and BI tools (Tableau/Power BI). SQL, Python, or web reporting is a plus. - The AI Edge:
Strong interest in transitioning to next-generation, AI-driven allocation systems. - Acumen & Mindset:
Curious, detail-oriented thinker who combines sharp analytical skills with a collaborative mindset. Great at finding opportunities in data, streamlining processes, and working closely with teams to build better solutions. - Education:
Preferred degree in Analytics, Data Science, Economics, Statistics, or Information Design.
On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically – to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose.
On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.
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