Merchandiser - Strategic Products

The Role

Product Benchmarking

• Build a methodology for benchmarking product performance based on category, price point, styling, and historical performance.
• Establish a benchmark for measuring studio and creative performance.
• Analyze whether model, pose, backdrop, styling, and human versus AI production affect product performance.
• Own SKC- and SKU-level data sets supporting the methodology.
• Manage product attribution, styling tags, and pairing data across brand taxonomies.
• Identify and resolve data quality issues before they affect analysis or business decisions.
• Continuously refine the methodology as new data and learnings emerge.

Product and Merchandising Insight

• Apply merchandising judgment to explain why products sell rather than only reporting performance outcomes.
• Analyze model, pose, backdrop, and styling performance across brands and categories.
• Translate findings into actionable recommendations for studio, creative, and AI imagery teams.
• Provide structured, evidence-led feedback to the external AI imagery partner.
• Design and run A/B tests across creative and product presentation approaches.
• Identify emerging product trends, performance patterns, and opportunities for further investigation.

Reporting and Stakeholder Influence

• Own product benchmarking and imagery performance components of the Monthly Business Review.
• Provide senior stakeholders with a trusted view of the drivers of product performance.
• Turn complex analysis into clear, concise, decision-ready insights.
• Flag data inconsistencies, methodology risks, and assumptions proactively.
• Partner with Merchandising, Studio, Creative, Digital Trade, and commercial teams.
• Act as the day-to-day data and insight contact for the external AI imagery partner.

What You’ll Bring

• Hands-on understanding of fashion product and merchandising, including why products sell.
• Experience in merchandising, planning, or product-focused analytics in fashion, ecommerce, or a fast-moving consumer environment.
• Strong practical experience with large and complex data sets.
• Advanced Excel skills and confidence with complex formulas and data manipulation.
• Experience with SQL, Python, or business intelligence tools is beneficial.
• Strong commercial mindset and ability to connect analysis to business performance.
• Curiosity and confidence around AI-driven workflows and willingness to learn quickly.
• Ability to build a methodology from a blank page without an established playbook.
• Strong communication skills for presenting complex findings to senior stakeholders.
• Based in Dubai and willing to collaborate closely with UK and Dubai teams.

What the Company Brings

• 25 days of annual leave, increasing to 30 days after the first year.
• 30% employee discount across the company’s brands.
• Ongoing learning and development opportunities.
• Company social events.
• Opportunity to work with a high-performing team building brands at global scale.