At a Glance
- Tasks: Drive data-driven decisions by designing experiments and enhancing reporting processes.
- Company: Join Farfetch, a leading name in the fashion tech industry.
- Benefits: Enjoy hybrid work, health insurance, and a flexible benefits programme.
- Other info: Be part of a dynamic team with opportunities for growth and innovation.
- Why this job: Make a real impact on marketing performance with your analytical skills.
- Qualifications: 3+ years in data roles, strong SQL skills, and digital marketing analytics experience.
The predicted salary is between 50000 - 65000 £ per year.
Farfetch is looking for a Senior Data Analyst based in London to drive data-driven decision-making across the organization. In this role, you will design and optimize experiments, enhance reporting processes, and provide actionable insights to improve performance across marketing channels.
Ideal candidates have over 3 years of experience in data roles with strong analytical skills, expertise in SQL, and a background in digital marketing analytics. The position offers a hybrid work model and diverse benefits including health insurance and a flexible benefits program.
Senior Data Analyst — Growth & ROAS Experimentation (Hybrid) employer: Farfetch
Farfetch is an exceptional employer that fosters a dynamic and inclusive work culture in the heart of London. With a strong emphasis on employee growth, you will have access to diverse benefits, including health insurance and a flexible benefits programme, all while enjoying the flexibility of a hybrid work model. Join us to be part of a forward-thinking team where your analytical skills will drive impactful decisions and enhance your career in the exciting world of digital marketing.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst — Growth & ROAS Experimentation (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Farfetch. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your data analysis projects. This will help you stand out and demonstrate your expertise in SQL and digital marketing analytics.
✨Tip Number 3
Practice makes perfect! Brush up on your analytical skills and experiment design. You might even want to run through some mock interviews with friends to get comfortable discussing your experience.
✨Tip Number 4
Don’t forget to 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 are proactive about their job search!
We think you need these skills to ace Senior Data Analyst — Growth & ROAS Experimentation (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data roles, especially focusing on your analytical skills and any relevant projects. We want to see how your background aligns with the Senior Data Analyst position at Farfetch.
Showcase Your SQL Skills:Since SQL expertise is key for this role, include specific examples of how you've used SQL in past projects. We love seeing real-world applications of your skills that demonstrate your ability to drive data-driven decision-making.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data analysis and how you can contribute to enhancing reporting processes at Farfetch. This is your chance to show your personality and enthusiasm!
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’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Farfetch
✨Know Your Data Inside Out
Make sure you’re well-versed in your past data projects. Be ready to discuss specific examples where your analytical skills made a difference, especially in marketing contexts. This will show that you can drive data-driven decision-making effectively.
✨Brush Up on SQL Skills
Since expertise in SQL is crucial for this role, we recommend practising common SQL queries and being prepared to solve problems on the spot. You might be asked to demonstrate your SQL knowledge during the interview, so don’t leave it to chance!
✨Experiment Design Knowledge
Familiarise yourself with different experimental designs and methodologies. Be prepared to discuss how you’ve designed and optimised experiments in the past, and how those experiences can translate to improving performance at Farfetch.
✨Showcase Your Reporting Process
Think about how you enhance reporting processes in your previous roles. Be ready to explain your approach to creating actionable insights from data, as this will highlight your ability to contribute to the organisation’s growth and ROAS experimentation.
