Data Analyst

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

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 roles;

Advanced proficiency in Python for data analysis, automation and workflow development;

Strong SQL skills and experience working with large-scale relational and analytical databases;

Hands-on experience with Google Cloud Platform (GCP), particularly BigQuery and Looker;

Strong understanding of data modeling, ETL/ELT processes and analytics engineering concepts;

Experience working with orchestration and automation tools such as Airflow;

Experience working with version control systems such as Git;

Excellent communication and stakeholder management skills, with the ability to present insights to technical and non-technical audiences;

English proficiency is mandatory;

Curious mindset, proactive attitude and strong collaboration skills.

Preferred / Nice to Have Qualifications

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 frameworks;

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.

REWARDS & BENEFITS

• Health insurance for the whole family, flexible working environment and well-being support and tools;
• Extra days off, sabbatical program and days for you to give back for the community.
• Training opportunities;
• Flexible benefits program.

EQUAL OPPORTUNITIES STATEMENT

Farfetch is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. 
We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law. 

SCAM DISCLAIMER

It has come to our attention that there may be fraudulent activities involving individuals or organizations falsely claiming to represent Farfetch in order to attract candidates to a SCAM. Please be aware that Farfetch does not conduct recruitment processes through messaging apps or any unofficial communication channels, other than our official careers website. Additionally, Farfetch will never ask candidates for any form of payment during the recruitment process.