Specialist - Retail Analyst Allocation
At a Glance
As a Retail Analyst Allocation, you will combine analytical thinking with commercial insight to maximize in-season performance. Bridging planning, retail, and operations, you will support the AMER region's transition to a fully AI-powered allocation system. In this role, you will help drive highly responsive, data-driven decisions and leverage advanced analytics tools to optimize product availability and commercial growth.
Meet the Team
Help shape and scale a modern allocation function for a fast-growing brand across the AMER region (US, Brazil, and Mexico). 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, Americas.
Your Role
- 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.
- Inventory Maximization: Optimize in-season stock utilization and strategically manage end-of-season inventory to protect margins.
- Insights & Communication: Translate complex datasets into clear, visual, and actionable recommendations for merchandising, planning, and operations.
Your Profile
- 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.
You have the right to work in the relevant hiring location (New York) and must be based within proximity to work from one of these Office locations on a hybrid basis.
Pay Transparency State: Typical cash compensation range for this position inclusive of base + bonus: $88,000 - $110,000. 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.
At On we understand cash compensation is just one piece of your total rewards package. In addition to cash compensation, On offers a competitive benefits package including medical, dental, and vision benefits, along with an industry leading PTO package, and competitive 401k program. Additional perks and benefits include: 11 paid US holidays, corporate office closure between Christmas and New Year, and a plethora of product perks!