A hybrid Data Analytics role at Farfetch.
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Original listing text, shown exactly as published by the company.
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.
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Analyze large and complex datasets to identify trends, opportunities and business insights using Google BigQuery;
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Develop scalable data pipelines, automated reporting solutions and analytical models using Python and Airflow;
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Work with GCP services, primarily BigQuery and Looker, to build and optimize analytics workflows;
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Design and maintain dashboards, KPIs and self-service reporting solutions for business stakeholders;
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Collaborate with engineering, product and operations teams to support data-driven decision-making;
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Perform data validation, quality checks and root-cause analysis to ensure data integrity;
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Optimize SQL queries and improve performance of large-scale data transformations;
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Support automation and AI-driven initiatives by leveraging modern analytics and data engineering practices;
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Document analytical processes, data models and reporting frameworks to ensure maintainability and scalability.
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Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, Engineering or a related field;
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3+ years of experience in data analytics, business intelligence or analytics engineering roles;
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Advanced proficiency in Python for data analysis, automation and workflow development;
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Strong SQL skills and experience working with large-scale relational and analytical databases;
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Hands-on experience with Google Cloud Platform (GCP), particularly BigQuery and Looker;
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Strong understanding of data modeling, ETL/ELT processes and analytics engineering concepts;
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Experience working with orchestration and automation tools such as Airflow;
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Experience working with version control systems such as Git;
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Excellent communication and stakeholder management skills, with the ability to present insights to technical and non-technical audiences;
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English proficiency is mandatory;
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Curious mindset, proactive attitude and strong collaboration skills.
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Exposure to Data Science and Machine Learning concepts, including predictive modeling and statistical analysis;
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Familiarity with modern AI such as Natural Language Processing (NLP), Large Language Models (LLMs) and deep learning frameworks;
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Knowledge of machine learning libraries and frameworks such as Scikit-learn, TensorFlow or PyTorch;
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Experience working in Agile environments and using tools such as Jira and Confluence.
Farfetch
Data Analytics
48 open roles on Sydicom
Farfetch is a British e-commerce company focused on luxury clothing and beauty products. It operates as a digital marketplace that sells products from several hundred brands, boutiques and department stores from around the world. In January 2024, the company was acquired by Coupang.
Source: Wikipedia
