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Location
Hybrid (Porto, Portugal)
Visa
Sponsors visas in United Kingdom; no register of this country names it

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026. Farfetch scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Farfetch is an online luxury fashion marketplace that sells clothing, shoes and accessories from boutiques and brands to customers in around 190 countries. Founded in 2007 by Portuguese entrepreneur José Neves, it also offers e-commerce technology and services to luxury brands, and it has been owned by South Korea's Coupang since early 2024. The company is headquartered in London, United Kingdom, with its largest technology and operations offices in Porto, Lisbon and Guimarães, Portugal.

LUXCLUSIF

Luxclusif is a technology-driven global B2B platform founded in 2013 and part of Farfetch since 2021. Dedicated to redefining the luxury paradigm by offering premium pre-owned fashion to a global audience, Luxclusive has pioneered the global luxury resale market, with advanced data-driven solutions to facilitate the buying and selling of high-end pre-owned items. With operations spread across the globe and strategic warehouses in key locations, ensure a seamless supply of luxury goods, ensuring item curation, quality control, operations, logistics to technology integrations and sales, delivering an unmatched resale experience for brands, retailers, and end-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

As an Analytics Manager, you will join our Porto hub to guide our Analytics Team and develop the best-in-line analytics suite of products that power our business areas. You will pair with Product Managers, and Data Engineers to define, plan, and execute our Data strategy in collaboration with Data oriented Stakeholders

WHAT YOU’LL DO:

  • Manage a Dual-Domain Team: Mentor and oversee the team, setting technical standards across both product analytics and business intelligence. Foster continuous professional growth and establish best practices for data modeling and analysis;
  • Product Analytics: Support product development, track feature adoption and identify key user behavior and value drivers;
  • Ad-hoc Analysis: Serve as the strategic analytics partner to executive and business leaders. Run deep-dive diagnostic analyses to answer high-stakes operational questions (e.g., investigating sudden sales drops, identifying returns issues, etc.);
  • Business Case & Decision Support: Partner with business areas to model scenarios, evaluate growth opportunities, and provide rigorous, data-backed quantitative foundation for strategic business cases and new initiatives;
  • Business Intelligence & Enterprise Reporting: Manage company-wide core KPIs and maintain unified executive dashboards that provide single-source-of-truth visibility into the business;
  • Drive Self-Service Analytics: Manage and evolve our self-service analytics platform, ensuring a robust environment that empowers business teams to make data-driven decisions independently;
  • Collaborate with Data Engineering: Work closely with the Data Engineering team to evolve the company’s data infrastructure. You will be the voice of the analytics team, ensuring data quality and availability requirements are met to support advanced reporting;
  • Evolve with AI: Explore and adopt AI-powered tools to enhance analytical efficiency. You will have the opportunity to grow significantly in this area, applying AI to automate insights and solve business challenges.

WHO YOU ARE:

  • Hybrid Analytics Leader: You bring a proven track record as Analytics Manager or Lead Analyst with expertise spanning both Business Intelligence and Product Analytics;
  • Strategic Connector: You excel at bridging the gap between technical data and business strategy. You have excellent communication skills and can influence stakeholders at all levels;
  • Collaborative Team Player: You strongly believe in teamwork. You are eager to work side-by-side with Data Engineers to build a scalable data ecosystem, understanding that your success depends on the quality of the data pipeline;
  • Tech Savvy & Analytical: You have strong skills in SQL and Python, with a data-driven mindset to test theories and measure success;
  • AI Growth Mindset: You are curious about the future of analytics. You want to learn how to leverage AI tools to upgrade your team’s output, looking for practical applications rather than building backend models;
  • Problem Solver: A flexible, approachable attitude with good problem-solving skills, able to adapt to changing business needs.

REWARDS & BENEFITS:

  • Health insurance for the whole family and other well-being resources;
  • 25 Days of Annual Leave (above the statutory) and additional Caring Days (2 days per year) and;
  • Boomerang: sabbatical program after 5 years service;
  • Training opportunities and free access to LinkedIn Learning;
  • Flexible benefits program;
  • Flexible working environment.

EQUAL OPPORTUNITIES STATEMENT

  • Luxclusif 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.
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