At a Glance
- Tasks: Design and optimise experiments to boost marketing performance using data-driven insights.
- Company: Farfetch, a leading global luxury fashion marketplace.
- Benefits: Competitive salary, vibrant office in London, and opportunities for professional growth.
- Other info: Work in London's tech hub with a focus on innovation and collaboration.
- Why this job: Join a dynamic team and make a real impact in the luxury fashion industry.
- Qualifications: Experience in data analysis and a passion for marketing strategies.
The predicted salary is between 55000 - 70000 £ per year.
Why Here? 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 from around the world. The Marketing team is data-driven and results-oriented, focused on achieving measurable outcomes across all digital advertising and marketing channels. Growth is a key performance indicator, and the team constantly optimizes for return on ad spend. This role is based in the London office located in Old Street, London’s tech hub.
What Will You Do? As a Senior Data Analyst at Farfetch, you will:
- Design, execute, and optimize experiments across paid marketing channels while leveraging data-driven methodologies to increase ROAS.
- Integrate and analyze data from diverse internal and external sources to uncover acquisition, retention, and optimization opportunities.
- Build statistical models to forecast demand, measure incrementality, and communicate actionable insights to stakeholders at all levels.
London, United Kingdom Farfetch Senior Data Analyst – MarAnalytics employer: Experimentation Jobs
Farfetch is an exceptional employer that thrives in the vibrant tech hub of Old Street, London, offering a dynamic work culture where data-driven decision-making is at the forefront. Employees benefit from a collaborative environment that fosters professional growth through innovative projects and access to cutting-edge tools, all while being part of a global marketplace that champions luxury fashion. With a strong focus on measurable outcomes and continuous optimisation, Farfetch provides meaningful opportunities for those looking to make a significant impact in the marketing landscape.
StudySmarter Expert Advice🤫
We think this is how you could land London, United Kingdom Farfetch Senior Data Analyst – MarAnalytics
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Experimentation Jobs!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like London, United Kingdom Farfetch Senior Data Analyst – MarAnalytics at Experimentation Jobs.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Experimentation Jobs.
✨Apply Directly through Our Website
When you find a suitable opening like London, United Kingdom Farfetch Senior Data Analyst – MarAnalytics at Experimentation Jobs, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace London, United Kingdom Farfetch Senior Data Analyst – MarAnalytics
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Experimentation Jobs, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Experimentation Jobs. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Experimentation Jobs
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Experimentation Jobs!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
