Senior Specialist, Fashion Planning

Purpose & Overall Relevance for the Organisation

This role empowers the Fashion Sales Team with data-driven insights through seasonal and financial forecasting, demand planning, and sell-through performance analysis. You’ll play a key role in optimising sales performance, spotting growth opportunities, and driving strategic initiatives that grow both the Fashion channel and the wider adidas business.

Sales & Forecasting Analytics

• Own and present sales forecasts aligned with business KPIs.
• Track weekly sell-through and weeks-of-cover to highlight trends, risks, and opportunities.
• Partner with Sales and Customer Service to review and manage the Fashion Order Book.
• Support funding requests, cancellations, and other in-season adjustments.
• Deliver clear, actionable recommendations to address risks and maximise in-season performance.
• Prepare weekly, monthly, and quarterly reports on business performance by category and account.
• Build Q  and T2T reporting, including professional presentation materials.

• Execute seasonal and financial forecasting processes.
• Contribute to GTM (Go-to-Market) planning through forecast inputs and customer financial reporting.
• Support long-term strategic forecasting in line with global objectives and local market dynamics.

• Provide ad-hoc reporting tailored to the Fashion channel and customer needs.
• Translate retail and sales data into clear, actionable insights for both internal and external stakeholders.

• Director Fashion, Senior Manager Fashion, Account Managers
• Wholesale Planners
• Supply Chain / OBF
• Sales Operations
• Finance
• Customer Service
• Marketing Operations
• Product & Category Teams

• Merchandising & Planning teams within the Fashion account portfolio

• Advanced Microsoft Excel and PowerPoint skills; SAP and BI tool experience a plus.
• Strong analytical mindset with a focus on continuous improvement and process optimisation.
• Solid understanding of retail math and sell-through analysis, with the ability to turn data into strategy.
• Sharp awareness of retail and consumer trends to guide business decisions.
• Excellent time management skills and ability to prioritise under pressure with keen attention to detail.
• Confident communicator, skilled at presenting insights to managers, peers, and external partners.
• Collaborative team player with a proven ability to build strong relationships across functions and with clients.
• Positive, proactive attitude that supports a high-performance culture.

• Degree in Business, Finance, Accounting, or related field preferred (or equivalent practical experience).
• Proven experience in data analytics, sales planning, retail operations, or financial forecasting.