Data & Research Intern
- London, UK
- £22k - £25k
Job Description
How you expect the candidate to spend their day:• Analysing data across multiple domains: sales, merchandising, operations, digital performance
• Developing and maintaining reports and dashboards (primarily in Excel and AI-assisted tools)
• Supporting the CEO and senior team with research into market trends, competitors, and growth opportunities
• Building systems and data flows to support better decision-making
• Participating in cross-functional meetings to understand evolving data needs
• Taking initiative in exploring new tools and methods to improve internal efficiencies
• Conducting ad-hoc research projects and presenting findings succinctly
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The ideal candidate’s personality and qualifications:
• Degree from a top-tier university in a technical or analytical field (Engineering, Mathematics, Economics, Computer Science, etc.)
• Exceptional proficiency in Excel; familiarity with data tools, automation, and AI assistants (e.g. ChatGPT, Notion AI, etc.)
• Technically minded, with a meticulous and highly organised approach to work
• Strong analytical thinker, with the ability to translate numbers into insights
• Curious, proactive, and intellectually agile
• Discreet, hardworking, and able to work with minimal supervision
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What are the perks of working at this company?
• Direct exposure to a fast-scaling luxury brand with a global footprint
• Close working relationship with founders and strategic leadership
• Opportunities to influence decision-making and implement ideas
• Discounts on products after probation period
• A chance to be part of a company where precision, beauty, and meaning intersect
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Questions for applicants to think about:
• Give an example of how you used data to solve a problem or make a recommendation.
• Which AI tools do you use regularly, and how have they made your work more effective?
• What interests you about working in a luxury business rather than a tech or finance firm?
• Imagine we give you six months of sales data across all product lines and markets. How would you approach analysing this to identify performance drivers and missed opportunities?
• What are the most advanced or unconventional functions you’ve used in Excel or other tools to solve a complex problem?