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Data Analyst



7d ago

  • Job
    Senior (5-8 years) - Expert / Leadership (9+ years)
  • Data
  • London
  • Quick Apply

AI generated summary

  • You must have experience in data analysis in related fields, proficiency in data sets and statistics analysis, a degree in a quantitative discipline, strong coding skills, e-commerce experience, problem-solving abilities, project-driven mindset, strategic thinking, and excellent analytical skills.
  • You will drive performance marketing, lead data science programs, conduct ad effectiveness studies, analyze insights, prioritize projects, communicate with stakeholders, add value to business requests, contribute to the Analytics community, and ensure accuracy in analysis and reports.


  • Experiences directly related fields such as data science, marketing science, an/or marketing analytics in media measurement space
  • Experiences in using data sets (R, SQL), run A/B or multivariate tests, and applying statistics analysis to provide insights
  • A graduate of a Bachelor of Science program or a higher level post-secondary educational program ideally in Computer Science, Math, Engineering, Operation Research, or quantitative disciplinesStrong understanding of how to write performant and best practice code on large data sets in BigQuery
  • A professional with experience with data analytics, ideally with e-commerce orientation
  • You are detail-oriented with a demonstrably high standard for data accuracy and documentation
  • Experienced in leveraging data and analytics to solve real-world problems and create new solutions
  • ‘Can do’ mindset, offering solutions rather than problems
  • We are looking for a:
  • Critical thinker, confident to transform our data and information into structured and automated systems and reporting
  • Organized, team player, ready to build on our BI structure with the various stakeholders of the business
  • Project-driven personality, identifying gaps and turn them into implementable solutions
  • An excellent strategic thinker and with analytical skills, ideally developed in a commercial role preferably within an Internet or retail/consumer products business and/or management consulting


  • Lead the performance marketing channel providing technical expertise, roadmaps, workflow process management and prioritization
  • Own experimentation across the performance marketing channel, driving data science programs and capabilities with the objective of delivering incremental ROI
  • Conduct in-depth custom ad effectiveness studies and bespoke analyses to understand the relative impact of different marketing strategies across platforms and channels and provide valuable insights to stakeholders and leadership on an ongoing basis
  • Lead in-depth analysis and presentation of insights to various teams and drive changes in measurement and attribution
  • Juggle multiple projects and stakeholders - delivering quick, agile progress and recommending priorities
  • Communicate effectively with all levels of stakeholder to share insights concisely and accurately
  • Add value to requests from business leaders and build logic that will produce analytical measures to tell the story of what is happening. This requires a strong understanding of business goals, processes and data flows, to ‘be the voice of the customer’, and do this transferably across projects
  • Contribute to our Analytics Community; building relationships, defining ways of working, and helping us build our capability
  • Be responsible for ensuring the accuracy of analysis, data and reports to ensure a high quality of standards.


What are the main responsibilities of a Data Analyst at Farfetch?

The main responsibilities of a Data Analyst at Farfetch include interpreting data, analyzing results, providing insights to drive business decisions and strategies, working closely with cross-functional teams to understand their data needs, developing analytical solutions, and communicating findings effectively.

What skills are required to be a successful Data Analyst at Farfetch?

Successful Data Analysts at Farfetch should have strong analytical skills, proficiency in data analysis tools and techniques, ability to work with cross-functional teams, strong communication skills, problem-solving abilities, and the ability to drive both tactical and strategic decisions.

What type of work environment can a Data Analyst expect at Farfetch?

A Data Analyst at Farfetch can expect to work in a dynamic and fast-paced environment, collaborating with cross-functional teams to solve complex problems and drive business decisions. They will have access to cutting-edge technology and resources to support their work.

The Global Platform For Luxury

Founded Year

Mission & Purpose

FARFETCH is the leading global platform for the luxury fashion industry. Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers. Founded in 2007 by José Neves for the love of fashion, and launched in 2008, FARFETCH began as an e-commerce marketplace for luxury boutiques around the world. Today the FARFETCH Marketplace connects customers in over 190 countries and territories with items from more than 50 countries and over 1,300 of the world’s best brands, boutiques and department stores, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a single platform. FARFETCH’s additional businesses include Browns and Stadium Goods, which offer luxury products to consumers, and New Guards Group, a platform for the development of global fashion brands. FARFETCH offers its broad range of consumer-facing channels and enterprise level solutions to the luxury industry under its Luxury New Retail initiative. The Luxury New Retail initiative also encompasses FARFETCH Platform Solutions, which services enterprise clients with e-commerce and technology capabilities, and innovations such as Store of the Future, its connected retail solution.