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Farfetch is a leading global marketplace for the luxury fashion industry. The Farfetch Marketplace connects customers in over 190 countries and territories with items from more than 50 countries and over 1,400 of the world’s best brands, boutiques, and department stores, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace.
TECHNOLOGY
We're on a mission to build end-to-end products and technology that powers the an incredible e-commerce experience for luxury customers everywhere, understanding the motivations and needs of our customers and partners, to designing and testing hypotheses, to creating industry-leading experiences for luxury customers.
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 (Porto or Lisbon based)
We power data-driven decision-making by providing statistical expertise, technical support, and actionable insights from experiments, ensuring Farfetch evolves through scientifically informed, rapid iteration. Our work spans the entire product ecosystem. We partner with Product teams to turn bold ideas into reality, guiding every stage from ideation to test design, analysis, and rollout decisions.
We're designing impactful products and experiences that fulfil all our customer and partner needs from fashion lovers to the brands and boutiques. Our team covers the Farfetch.com website and apps. We're passionate about what we can achieve together, researching, testing, launching and refining new products to push the boundaries of what's never been done before. We partner with the Product teams and support them with all their analytical needs, from the very first moment (ideation, brainstorm initiatives) through the entire process of assessing the opportunities, configuring tests, analysing results and supporting decisions based on data.
What You'll Do
TECHNOLOGY
We're on a mission to build end-to-end products and technology that powers the an incredible e-commerce experience for luxury customers everywhere, understanding the motivations and needs of our customers and partners, to designing and testing hypotheses, to creating industry-leading experiences for luxury customers.
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 (Porto or Lisbon based)
We power data-driven decision-making by providing statistical expertise, technical support, and actionable insights from experiments, ensuring Farfetch evolves through scientifically informed, rapid iteration. Our work spans the entire product ecosystem. We partner with Product teams to turn bold ideas into reality, guiding every stage from ideation to test design, analysis, and rollout decisions.
We're designing impactful products and experiences that fulfil all our customer and partner needs from fashion lovers to the brands and boutiques. Our team covers the Farfetch.com website and apps. We're passionate about what we can achieve together, researching, testing, launching and refining new products to push the boundaries of what's never been done before. We partner with the Product teams and support them with all their analytical needs, from the very first moment (ideation, brainstorm initiatives) through the entire process of assessing the opportunities, configuring tests, analysing results and supporting decisions based on data.
What You'll Do
- Analyze large datasets to uncover trends in user and purchase behavior and optimize product and pricing performance
- Investigate operational inefficiencies and propose data-backed solutions
- Build forecasting models for inventory, demand planning, user engagement and revenue
- Design and evaluate A/B tests to measure the impact of product changes
- Build dashboards (SQL, Looker) to track KPIs and automate reporting
- Collaborate with Engineering to implement tracking and improve data quality
- Partner with Product Managers to define success metrics and inform roadmap decisions
- Communicate insights to leadership through clear visualizations and storytelling
- Knowledgeable about SQL and Python (Pandas, NumPy) at an advanced level
- Experienced with Experimentation (A/B testing)
- Familiar with statistical modeling (regression, clustering)
- Familiar with data visualization tools such as Looker and Tableau
- You have strong product sense and business acumen
- Your have a background in retail/e-commerce analytics
- 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 and free access to Udemy
- Flexible benefits program
- 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.
- 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
Key Skills
Ranked by relevance
looker
sql
data visualization
python
pandas
numpy
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- Posted
- Apr 01, 2025
- Type
- Full-time
- Level
- Associate
- Location
- Porto
- Company
- FARFETCH
Industries
Software Development
IT Services
IT Consulting
Biotechnology Research
Categories
Information Technology
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