Customer Data Analyst – FARFETCH Job Offer at FARFETCH Group

PARFETCH exists for the love of fashion. Our mission is to be the global luxury fashion platform, connecting designers, curators and consumers.

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


We’re a data team that takes care of everything: big data engineering, machine learning, analytics and deep analytics. We are a diverse, global team that creates data solutions to deliver an unmatched customer experience. Whether it’s generating gigabytes of e-commerce data, using AI to recommend the latest trends, or understanding our customers better than anyone, we use the data to drive the growth of FARFETCH.


Our office is located in Old Street, the technology hub of London. Our open plan space is ideal for collaborative work. When you’re not doing what has never been done, you can enjoy a team lunch on our large outdoor patio or join a yoga class in our dedicated studio.


Are you looking for an exciting challenge? This is a phenomenal opportunity to join us in the Marketing Analytics team, driving growth and optimization through the delivery of customer-centric information and strategies to retain our most valuable private clients over the long term. spenders. Reporting to the Senior Marketing Analyst, you will have the exceptional and exciting chance to work in a rapidly changing environment, taking our business to the next level. We are looking for a highly analytical person who is enthusiastic about solving business problems by working with big data, interpreting numbers and consulting with marketers, translating information into real actions and solutions based on business goals. This position is for an autonomous, independent person wishing to have a significant impact.


    • Business-critical analytical projects that involve the analysis of complex data sets to produce information and models that guide strategic decisions
    • Work closely with your manager, team and business partners to define, design, develop and implement a variety of analytical projects, including:
    • Comprehensive analysis to make strategic decisions
    • Report and understand performance drivers
    • Test and learn from champions
    • Quantify and challenge assumptions and assumptions
    • Examples include:
    • Impact of a personal stylist
    • How can we get stylists to increase their sales through their commission program
    • If a stylist leaves, what is the impact on sales?
    • Customer lifecycle
    • Who has the potential to be a private customer?
    • How can we encourage customers to upgrade to Private Customers more quickly?
    • Understand which customers have recently expired, and who has the propensity to expire in the future
    • How do you match stylists and clients?
    • Stylists might have an edge in a certain area and we are aligning clients with that i.e. assigning trendy stylists with clients
    • For example, if we have a new client and he’s more streetwear, can we assign it to a streetwear-inclined stylist?
    • Use robust statistical and data methods to build analyzes
    • Increase efficiency and automate analysis to ensure the focus is on new, value-added analysis
    • Challenge your team and business partners in meetings to encourage healthy debate and stimulating discussions


    • Degree in statistics, mathematics, computer science or a related field from a leading university
    • Proven analytical work experience in the areas of Know Your Customers, CRM Analytics, Lifetime Value, Attribution, Experimentation, Channel Analysis, Cohort Analysis , etc.
    • Knowledge of statistical methods including data mining, predictive modeling and reporting technologies.
    • You have the ability to work with SQL & Excel (standard analysis and graph extraction)
    • Knowledge of Python, R or similar
    • Very confident in handling ambiguity and scope of work with great attention to detail
    • A proactive, flexible and accessible attitude with good problem-solving skills

You will have the opportunity to work in a fast paced environment balancing tactical needs while seeking a long term solution. You will technically advance by adopting new technologies and analytical techniques to solve complex problems, while gaining in-depth knowledge of business channels and driving value in those channels using data. $ {Description2}

Sean N. Ayres