Data Analyst - Experimentation at Farfetch

At Farfetch, we operate the premier global marketplace for the luxury fashion industry. Our platform bridges the gap between customers in over 190 countries and more than 1,400 of the world’s most prestigious brands, boutiques, and department stores. We are driven by a mission to build the end-to-end technology that powers an incredible e-commerce experience. By understanding the unique needs of our partners and customers, we design and test hypotheses that allow us to create industry-leading experiences for luxury shoppers across the globe.

The role

We are looking for a Senior Data Analyst to join our experimentation team on a full-time basis. This role is based in Portugal, with the flexibility to work from either our Porto or Lisbon offices. As a key member of our team, you will power data-driven decision-making by providing statistical expertise and actionable insights. You will partner closely with product teams to guide the entire lifecycle of an experiment, from initial ideation and test design to final rollout decisions. This is a hybrid position that requires someone capable of bridging the gap between data engineering, product management, and business ownership.

Core responsibilities

• Design and implement rigorous methodologies for experiment analysis and interpretation to ensure high-quality, scientifically informed results.
• Lead deep-dive investigations into A/B and multivariate tests, providing strategic recommendations that drive product evolution.
• Develop advanced analytical models and tools that enhance our experimentation platform and increase the velocity and reliability of our testing framework.

Skills and experience

To be successful in this role, you should possess a strong background in technology and engineering, specifically within e-commerce or digital product environments. We are looking for the following qualifications:

• Expertise in hierarchical Bayesian models and familiarity with econometric methods such as IV regression and RDD.
• Proficiency in Python for statistical computing, including experience with tools like Stan or TensorFlow Probability.
• Practical knowledge of Cloud environments, such as GCP or AWS.
• Experience working with BI tools like Looker or Power BI.
• Strong communication skills in English to facilitate alignment across cross-functional teams.

Compensation and benefits

We are committed to supporting our employees through a comprehensive benefits package designed to foster well-being and professional growth. Our offerings include:

• Hybrid work arrangements to provide flexibility.
• Health insurance coverage for your entire family.
• Access to a flexible benefits program and well-being tools.
• Extra days off, a sabbatical program, and dedicated time to give back to the community.
• Continuous learning opportunities, including free access to Udemy.

How to apply

If you are passionate about using data to shape the future of luxury e-commerce, we would love to hear from you. Please submit your application through our official careers website. We are an equal opportunities employer and are dedicated to ensuring that every candidate is treated fairly throughout our recruitment process. Please be mindful that we only conduct recruitment through our official channels and will never ask for payment during the hiring process.