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Join Farfetch's Growth Marketing team as a Marketing Analytics Intern for a 6-month internship in our London office. You will dive deep into data to uncover key insights that drive Farfetch's global growth strategies, acting as the crucial link between complex datasets and actionable marketing tactics. Working in a hybrid model from our Old Street location, you'll support data-driven decision-making across the organisation while learning from experienced analysts in a culture of experimentation and continuous improvement.
In this role, you will support the Marketing Analytics team in analyzing campaign, customer, and performance data, write SQL queries to extract and interpret large datasets, and build dashboards and visualizations to monitor key business metrics. You'll collaborate with cross-functional teams including marketing, product, and data stakeholders, assist in evaluating experiments and growth initiatives, and present findings in a clear and structured way to transform data into practical recommendations.
You should be currently pursuing or recently completed a degree in a quantitative discipline such as Mathematics, Statistics, Economics, or Computer Science. Strong familiarity with SQL is essential, with experience in Python, R, or BI tools being advantageous. You must be comfortable working with data, curious and proactive, and able to communicate insights clearly to both technical and non-technical audiences.
Responsibilities
- 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
Skills
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Pessoas inteligentes e cultura colaborativa. Salário mediano acima do mercado português. Excelentes benefícios e seguro de saúde. Work-life …
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