Data Analyst @ Farfetch
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About Farfetch
Farfetch is a leading global marketplace for the luxury fashion industry, connecting customers in over 190 countries with items from more than 50 countries and over 1,400 of the world’s best brands and charming boutiques. It opens a world of luxury for endless expressions of style with a unique shopping experience.
Commercial Team & Office
The Commercial team drives strategic partnerships and sources the best selection while optimizing sales channels. Located in Old Street, London, our office offers a collaborative open-plan space, outdoor team lunches, and a dedicated yoga studio.
The Role - Data Analyst
This role in the Marketing Analytics team is an exciting challenge for someone who is numerate and loves working with big data to derive insights and drive commercial objectives.
- Manage analytical projects and produce strategic insights.
- Utilize robust statistical methods and automate analyses.
- Engage in deep-dive marketing channel performance studies.
- Collaborate with channel partners and drive testing experiments.
- Continuously adopt new analytical techniques to solve complex problems.
Who Are You
You are a professional with 1-5 years of experience in data roles within an e-commerce environment. You possess strong analytical and quantitative skills along with proficiency in SQL, Excel, and preferably Python or R.
Rewards & Benefits
- Employee Pension Scheme
- Flexible Benefits Program
- Health Insurance & Critical Illness cover
- Flexible work environment under a Hybrid Model (3 days office, 2 days remote)
Equal Opportunities & Scam Disclaimer
Farfetch is an equal opportunities employer ensuring fairness in the recruitment process and is vigilant against fraudulent recruitment activities.
Key skills/competency
Data Analysis, SQL, Excel, Python, R, Statistical Methods, Big Data, Marketing Analytics, E-commerce, Automation
How to Get Hired at Farfetch
🎯 Tips for Getting Hired
- Research Farfetch's culture: Study their values, mission, and recent news.
- Customize your resume: Highlight data analysis and e-commerce skills.
- Prepare technical examples: Demonstrate SQL, Excel, and Python projects.
- Practice interview responses: Focus on data-driven problem solving.