At a Glance
- Tasks: Automate data processes and optimise digital merchandising for top UK retailers.
- Company: Design-led brand revolutionising home trends with innovative AI-driven strategies.
- Benefits: Competitive salary, share options, wellbeing allowance, and 25 days annual leave.
- Other info: Remote-first role with opportunities for travel and professional development.
- Why this job: Join a dynamic team to shape the future of e-commerce with cutting-edge technology.
- Qualifications: Analytical mindset, strong Excel skills, and a passion for e-commerce growth.
The predicted salary is between 30000 - 40000 £ per year.
The MissionSwoon 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.
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) in London employer: Swoon Editions
At MissionSwoon, we pride ourselves on being an innovative and design-led brand that values analytical drive and creativity. Our remote-first work culture fosters flexibility and collaboration, allowing you to thrive in a supportive environment while working with leading UK retailers. With competitive salaries, generous leave policies, and opportunities for personal and professional growth, we are committed to nurturing talent and ensuring our employees feel valued and empowered.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Partner Trading and AI Merchandising Executive (UK based only) in London
✨Tip Number 1
Get your networking game on! Connect with people in the industry through LinkedIn or local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data automation and AI skills. This is your chance to demonstrate your analytical drive and creativity, so don’t hold back!
✨Tip Number 3
Prepare for interviews like a pro! Research the company and its competitors, and come armed with insights on how you can optimise their digital shelf presence. We want to see your intellectual curiosity shine through!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Graduate Partner Trading and AI Merchandising Executive (UK based only) in London
Some tips for your application 🫡
Show Your Analytical Side:We want to see your raw analytical drive! In your application, highlight any projects or experiences where you've used data to solve problems or improve 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 show us you can apply that same principle to your written application!
Express Your Curiosity:Let us know about your passion for e-commerce and AI! Share any relevant experiences or insights you've gained about digital merchandising and how you think it can drive sales. We’re looking for someone who’s eager to learn and innovate.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!
How to prepare for a job interview at Swoon Editions
✨Master the Data Game
Brush up on your Excel skills and be ready to showcase your spreadsheet wizardry. Familiarise yourself with advanced formulas like XLOOKUP and INDEX/MATCH, and think about how you could automate data processes. Being able to discuss specific examples of how you've used these tools will impress the interviewers.
✨Show Your Analytical Curiosity
Prepare to discuss your understanding of e-commerce growth and why certain products sell better than others. Think about questions you might ask during the interview that demonstrate your intellectual curiosity, such as how they track competitor performance or what metrics they use to measure success.
✨Get Familiar with AI Tools
Since this role involves leveraging AI for merchandising, do some research on AI scraping and optimisation tools. Be ready to talk about any experience you have with these technologies or how you would approach using them to enhance product visibility and sales.
✨Be a Problem Solver
Think of examples where you've had to troubleshoot issues, especially related to data management or technical problems. Highlight your attention to detail and how you ensure data quality, as this is crucial for the role. Showing that you can act as a gatekeeper for product data will resonate well with the interviewers.
