Farfetch
Luxury Fashion
DataAnalyst
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Analyst at Farfetch. Skills: Python, Google Cloud Platform, BigQuery, SQL. Analyze large datasets. identify trends”
What You'll Achieve.
actionable insights; scalable analytics solutions; strategic and tactical decision-making; automated reporting solutions; self-service reporting solutions; data-driven decision-making; improve performance of large-scale data; maintainability and scalability
Industry & Context.
analytical solutions; actionable insights; data validation; quality checks; root-cause analysis
What They're Looking For.
Must Have
Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, Engineering or a related field, 3+ years of experience in data analytics, business intelligence or analytics engineering, Advanced proficiency in Python for data analysis, automation and workflow, SQL skills and experience working with large-scale relational and analytical databases, Hands-on experience with Google Cloud Platform (GCP), particularly BigQuery, understanding of data modeling, ETL/ELT processes and analytics engineering, Experience working with orchestration and automation tools, Experience working with version control systems, Excellent communication and stakeholder management skills, English proficiency
Nice to Have
Exposure to Data Science and Machine Learning concepts, including predictive modeling and statistical analysis, Familiarity with modern AI such as Natural Language Processing (NLP), Large Language Models (LLMs) and deep learning, Knowledge of machine learning libraries and frameworks such as Scikit-learn, TensorFlow or PyTorch, Experience working in Agile environments and using tools such as Jira and Confluence
What You'll Do.
Analyze large datasets
Develop scalable data pipelines
automated reporting solutions
Work with GCP services
build and optimize analytics
Design and maintain dashboards
self-service reporting solutions
Translate business requirements
Perform data validation
AI-driven initiatives
leveraging modern analytics
Document analytical processes
How You'll Work.
Team & Collaboration
Collaborate with engineering, product and operations teams; support data-driven decision-making; stakeholder management skills; present insights to technical and non-technical audiences
Communication Scope
Excellent communication and stakeholder management skills; ability to present insights to technical and non-technical audiences
Full Job Description
## Description 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. OPERATIONS The 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. PORTOOur 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 servic
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