Swoon Editions
Retail β Furniture & Home Furnishings
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Swoon is an original, design-led brand utilising an innovative NPD process to discover the next home trends. As we expand our footprint across the UKβs leading retailers, we are moving away from manual data management toward a highly automated, AI-driven trading model. We are seeking a technical, data-native graduate to own our partner uploads for John Lewis, Next, and M&S. You do not need years of corporate experience for this role. Instead, we want raw analytical drive. You will build the automated data pipelines to ensure our listings are flawless, and you will leverage AI to ensure they actually sell.
This is a dual-impact graduate role combining robust data automation with forward-thinking digital merchandising.
On one hand, you are a spreadsheet wizard and automation enthusiast. You look at manual data formatting and see an opportunity to write a script, build a macro, or deploy an advanced formula to eliminate human error entirely. You have an obsessive attention to detail and believe that clean data is the foundation of good business.
On the other hand, you possess deep intellectual curiosity about e-commerce growth. You do not want a product to just be visible on a website, you want to understand exactly why it sells, or more importantly, why it doesnβt and how to optimise it. You will be excited to pioneer the use of AI scraping and optimisation tools to track our digital shelf visibility, analyse competitor listings, and use data-driven insights to maximise our conversion rates on partner platforms.
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Swoon Editions