At a Glance
- Tasks: Automate data processes and optimise digital merchandising for top UK retailers.
- Company: Swoon, a design-led brand revolutionising home trends with AI-driven solutions.
- Benefits: Competitive salary, share options, bonus scheme, and 25 days annual leave.
- Other info: Remote-first role with opportunities for travel and collaborative workshops.
- Why this job: Join a dynamic team to shape the future of e-commerce with innovative AI tools.
- Qualifications: Analytical mindset, strong Excel skills, and a passion for e-commerce growth.
The predicted salary is between 25000 - 32000 £ per year.
The Mission
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 UK’s 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.
What we are looking for
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 doesn’t 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.
Requirements
Key Responsibilities
- Data Automation and Partner Integration
- Automated Uploads: Own the end-to-end data preparation and upload process for major retail partners (John Lewis, Next, and M&S), transforming raw internal product data into platform-ready formats.
- Pipeline Engineering: Move us away from manual data entry by building and maintaining robust Excel templates, formulas (such as XLOOKUP, INDEX/MATCH, and dynamic arrays), or VBA and Python scripts to automate data validation.
- Rigorous Data Quality Assurance: Act as the final gatekeeper for product data. Implement foolproof validation checks to ensure zero errors in pricing, dimensions, SKUs, and imagery before sheets are submitted to partners.
- Partner Troubleshooting: Serve as the technical point of contact for partner portal errors, quickly diagnosing and resolving feed or upload discrepancies.
- AI Merchandising and Digital Shelf Optimisation
- Visibility Tracking: Deploy and manage AI-driven scraping and tracking tools to monitor Swoon's actual visibility and search rankings on partner websites.
- Conversion Optimisation: Drive performance rather than just pushing listings live. Analyse how our products are displayed, identify optimisation gaps like missing search terms or poor imagery placement, and optimise copy to drive sales.
- Intellectual Competitor Intelligence: Use AI and analytics tools to benchmark our digital shelf presence against competitors, identifying emerging trends and structural gaps in partner ranges.
- Commercial Feedback Loop: Translate partner sales data and visibility metrics into actionable insights for the Design teams, ensuring we double down on what moves the needle.
Working Hours, Location and Flexibility
- Hours: 9:00am to 5:30pm, Monday to Friday. We have flexibility for Friday pm off if you work extra hours Monday to Thursday.
- Remote-First: Most of the time you will be working remotely from home within the UK.
- Collaborative Workshops: We require travel to London a few times per month for workshops, and all UK train travel for these sessions will be fully expensed.
Benefits
- Competitive salary
- Share options programme
- Bonus scheme
- Wellbeing allowance
- Pension scheme (including employer contribution)
- Private medical cover for you and your family
- 25 days of annual leave + an extra day for each year of tenure
- Your birthday off + an additional day for volunteering/community work
- Free furniture on each anniversary of employment
- Friends & family discount
Graduate Partner Trading and AI Merchandising Executive (UK based only) employer: Swoon Editions
Swoon is an exceptional employer that champions innovation and creativity in the home design sector, offering a dynamic work environment where graduates can thrive. With a strong focus on employee growth, we provide comprehensive training in data automation and AI merchandising, alongside competitive benefits such as share options, a wellbeing allowance, and generous annual leave. Our remote-first approach allows for flexibility, while collaborative workshops in London foster a sense of community and teamwork among our talented staff.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Partner Trading and AI Merchandising Executive (UK based only)
✨Tip Number 1
Get your networking game on! Reach out to people in the industry, especially those who work at Swoon or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you're a spreadsheet wizard, create a mini-project that demonstrates your data automation prowess. Share it during interviews or even on LinkedIn to catch the eye of recruiters.
✨Tip Number 3
Be curious! Research the latest trends in AI merchandising and e-commerce. Bring up your findings in conversations or interviews to show that you're not just interested in the role, but passionate about the industry.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Swoon team.
We think you need these skills to ace Graduate Partner Trading and AI Merchandising Executive (UK based only)
Some tips for your application 🫡
Show Your Analytical Side:We want to see your analytical drive shine through in your application. Highlight any projects or experiences where you've used data to solve problems or optimise processes. Don’t be shy about showcasing your spreadsheet wizardry!
Be Detail-Oriented:Attention to detail is key for this role. Make sure your application is free from typos and errors. We love clean data, so let’s start with a clean application! Double-check everything before hitting send.
Express Your Curiosity:We’re looking for someone who’s genuinely curious about e-commerce and AI. In your application, share what excites you about these fields and how you’ve explored them. Show us that you’re not just applying for a job, but for a chance to innovate!
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to see your enthusiasm and ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at Swoon Editions
✨Master the Data Game
Since this role is all about data automation, brush up on your Excel skills and be ready to discuss specific formulas like XLOOKUP or INDEX/MATCH. Prepare examples of how you've used these tools in the past to solve problems or improve processes.
✨Show Your Analytical Curiosity
Demonstrate your passion for e-commerce by discussing trends you've noticed or insights you've gained from analysing data. Be prepared to share your thoughts on why certain products sell better than others and how you would approach optimising listings.
✨Get Familiar with AI Tools
Research AI-driven scraping and optimisation tools that are relevant to the role. Mention any experience you have with these technologies, and be ready to discuss how you would leverage them to enhance digital shelf visibility and conversion rates.
✨Prepare for Problem-Solving Scenarios
Think of potential challenges you might face when managing partner uploads or troubleshooting errors. Prepare to walk through your thought process on how you would diagnose and resolve these issues, showcasing your technical skills and attention to detail.
