Marketing Analytics - 6 month Internship

Closing date for application: Monday 18th May 2026

Farfetch exists for the love of fashion. We believe in empowering individuality. Our mission is to be the global technology platform for luxury fashion, connecting creators, curators and consumers.

We're a positive platform for good, bringing together an incredible creative community made up by our people, our partners and our customers. This community is at the heart of our business success. We welcome differences, empower individuality and celebrate diverse skills and perspectives, creating an inclusive environment for everyone. We are FARFETCH for All.

Marketing

We’re a diverse team of Marketing professionals, spanning artistic and scientific expertise. We’re driven to amaze our global community of customers through our data-driven approach, revolutionary spirit, test and learn culture and collaborative style. All for the love of fashion.

London

Our office is located in Old Street, London's tech hub. Our open-plan space is ideal for collaborative working. When you're not doing what's never been done, you can enjoy a team lunch on our large outdoor terrace, or join a yoga class in our dedicated studio.

The Role

As a Marketing Intern within our Growth Analytics team, you will dive deep into our data to uncover the key insights that drive Farfetch's global growth strategies. You will act as the crucial link between complex datasets and actionable marketing tactics, helping our broader teams make informed, data-driven decisions that continuously elevate our customer experience and business performance.

What You'll Do

• Support the Marketing Analytics team in analyzing campaign, customer, and performance data to uncover actionable insights.
• Write SQL queries and use analytical tools to extract, clean, and interpret large datasets.
• Build and maintain dashboards, reports, and visualizations that help teams monitor key business and marketing metrics.
• Assist in evaluating experiments, campaigns, and growth initiatives to understand performance and identify improvement opportunities.
• Collaborate with cross-functional teams including marketing, product, and data stakeholders to support decision-making.
• Present findings in a clear and structured way, helping transform data into practical recommendations.
• Learn from experienced analysts and contribute to a culture of experimentation, curiosity, and continuous improvement.

Who You Are

• Currently pursuing or recently completed a degree in a quantitative discipline such as Mathematics, Statistics, Economics, Computer Science, or a related field.
• Must be available to work full time for 6 months
• Comfortable working with data and eager to develop hands-on analytical skills in a real business environment.
• Familiarity with SQL is strongly preferred; experience with Python, R, or BI tools is a plus.
• Curious, proactive, and excited to solve problems using data.
• Able to communicate insights clearly to both technical and non-technical audiences.
• Interested in marketing, customer behavior, and growth strategy

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.