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.
OPERATIONSThe Operations team serves as the backbone of our marketplace, seamlessly managing the entire order journey. From creating online content and ensuring secure payments to order fulfillment and delivery, while providing comprehensive customer and partner care, this team is relentlessly focused on improving the customer experience every single day.
PORTO
Our office is near Porto, in the north of Portugal, and is located in a vibrant business hub. It offers a dynamic and welcoming environment where our employees can connect and network with a large community of tech professionals.
THE ROLE
We are looking for a highly analytical and business-oriented Data Analyst to join our Data Analytics, Automation & AI team. In this role, you will transform complex datasets into actionable insights, build scalable analytics solutions and contribute to AI-enabled initiatives that support strategic and tactical decision-making.
The ideal candidate has strong expertise in Python, modern analytics practices and hands-on experience with Google Cloud Platform (GCP) data products. The candidate should be comfortable working with large datasets, designing reporting frameworks, automating workflows and communicating insights to both technical and non-technical audiences.
Key Responsibilities
- Analyze large and complex datasets to identify trends, opportunities and business insights using Google BigQuery;
- Develop scalable data pipelines, automated reporting solutions and analytical models using Python and Airflow;
- Work with GCP services, primarily BigQuery and Looker, to build and optimize analytics workflows;
- Design and maintain dashboards, KPIs and self-service reporting solutions for business stakeholders;
- Translate business requirements into analytical solutions and actionable recommendations;
- Collaborate with engineering, product and operations teams to support data-driven decision-making;
- Perform data validation, quality checks and root-cause analysis to ensure data integrity;
- Optimize SQL queries and improve performance of large-scale data transformations;
- Support automation and AI-driven initiatives by leveraging modern analytics and data engineering practices;
- Document analytical processes, data models and reporting frameworks to ensure maintainability and scalability.
Required Qualifications
