Farfetch
Farfetch

Senior Data Analyst - MarAnalytics

TLDR

Join the Marketing Analytics team to drive growth and optimization across channels with a focus on data-driven methodologies and experimentation.

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. Farfetch opens a world of luxury for endless expressions of style, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace.  MARKETING 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 they constantly optimize for return on ad spend. LONDON Our office is located in Old Street, London's tech hub. Our open-plan space is ideal for collaborative working. When you're not doing what's never been done, you can enjoy a team lunch on our large outdoor terrace, or join a yoga class in our dedicated studio. THE ROLE Are you looking for an exciting challenge? This is a phenomenal opportunity to join us in the Marketing Analytics team driving growth and optimization across Farfetch's channels. You will have the exciting and rare chance to work in a fast-paced environment taking our business to the next level. We are looking for a numerate person who is excited to solve problems by working with big data, interpreting numbers, and consulting with channel leads on translating insights into real actions and solutions based on commercial objectives. This role is for someone who is self-driven, independent, and wants to drive significant impact. You will have the opportunity to embrace working in a fast paced environment balancing tactical needs whilst driving strategically for a long-term solution. You will grow technically by embracing new technologies and analytical techniques to solve complex problems, alongside gaining in-depth knowledge of business channels and driving value in these channels using data. WHAT YOU'LL DO
  • Design, execute, and optimize experiments across paid marketing channels, leveraging data-driven methodologies to increase ROAS.

  • Continuously refine experimentation frameworks to identify growth opportunities and enhance performance.

  • Proactively identify opportunities to automate reporting processes, improve efficiency, and reduce manual effort.

  • Integrate and analyse data from diverse internal and external sources to uncover acquisition, retention, and optimization opportunities for paid marketing channels.

  • Provide actionable recommendations to improve campaign effectiveness.

  • Effectively communicate insights, analyses, and recommendations to stakeholders at all levels, from marketing teams to senior leadership.

  • Build and implement statistical models to forecast demand, measure sales incrementality, and assess the impact of key marketing initiatives.

  • Leverage advanced analytical techniques to enhance decision-making and drive strategy.

  • Stay updated on industry trends, new analytical tools, and marketing technologies.

  • Apply this knowledge to improve existing processes, adopt innovative solutions, and maintain a competitive edge

  • WHO ARE YOU
  • A professional with 3+ years of experience in a data role, preferably in an internet company;

  • Strong analytical and quantitative skills; experience using data and metrics to test theories, confirm assumptions, and measure success;

  • Expert in SQL. BigQuery experience is a plus;

  • Familiar with data visualisation tools such as Looker, Tableau, Google Analytics, Data Studio, PowerBI or Microstrategy;

  • Degree educated. A quantitative field is considered a bonus;

  • Advanced Excel knowledge;

  • Advanced in English, both written and oral;

  • Excellent written and oral communication;

  • Using R or Python for statistical modelling is a plus;

  • Experience in Digital Marketing and Retention Analytics is a plus;

  • Curious about learning and applying data science to solve business problems

  • REWARDS & BENEFITS
  • Employee Pension Scheme 
  • Flexible Benefits Program 
  • Health Insurance & Critical Illness cover 
  • Flexible work environment- Hybrid Model (3 days a week from the office, 2 days from home)
  • EQUAL OPPORTUNITIES STATEMENT & SCAM DISCLAIMER
  • EQUAL OPPORTUNITIES STATEMENT- Farfetch is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law. 
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  • SCAM DISCLAIMER- It has come to our attention that there may be fraudulent activities involving individuals or organizations falsely claiming to represent Farfetch in order to attract candidates to a SCAM. Please be aware that Farfetch does not conduct recruitment processes through messaging apps or any unofficial communication channels, other than our official careers website. Additionally, Farfetch will never ask candidates for any form of payment during the recruitment process.
  • Benefits

    Flexible Work Hours

    Flexible work environment- Hybrid Model (3 days a week from the office, 2 days from home)

    Health Insurance

    Health Insurance & Critical Illness cover

    Farfetch operates a global marketplace that connects customers in over 190 countries with luxury fashion items from more than 1,400 brands and boutiques. By bridging the gap between established designers and emerging talents, it offers a unique shopping experience for fashion enthusiasts looking for high-quality, stylish products.

    Founded
    Founded 2008
    Employees
    500+ employees
    Industry
    Internet Software & Services
    Total raised
    $950M raised
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