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.
- 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.
FARFETCH London, England Office
The Bower, 4th Floor, Old Street, London, United Kingdom, EC1V 9NR
