Lead Data Analyst Porto

The Role

Reporting to the Analytics Manager, you will lead the analytics agenda for critical product and platform initiatives. As a Lead Data Analyst, you’ll combine advanced analytics, AI, and experimentation to shape strategy, influence roadmaps, and optimize user and partner experiences. You will guide analysts, partner with Product and Engineering leaders, and ensure data is a driving force in
- making across the organization.

What You'll Do

• Hands-on Analytics (60%): Conduct advanced analyses (causal inference, forecasting,
  - benefit, impact analysis) to drive product, pricing, and growth decisions; Apply predictive and prescriptive analytics (ML/AI models for demand forecasting, churn, recommendations) to inform business strategy; Analyze customer journeys and
  - commerce economics, uncovering opportunities to optimize funnel performance, promotions, and margin
  - offs; Design, recommend, and evaluate A/B and multivariate tests, ensuring statistical rigor and actionable outcomes; Build and maintain scalable reporting and dashboards in SQL and Looker, automating insights for stakeholders
• Leadership & Team Priorities (40%): Partner with the Data Manager to define and manage team priorities, balancing strategic projects with operational needs; Coordinate workloads, monitor progress, and ensure timely delivery of
  - quality analytical outputs; Provide mentorship and coaching, upskilling analysts in methodology, experimentation, and communication; Support administrative aspects of the team (planning, reporting, stakeholder updates)

Who You Are

• 5+ years of experience in data analytics, with a strong
  - commerce orientation (mandatory)
• Experience in coordinating or mentoring analysts, helping to set priorities and establish best practices
• Skilled in SQL, Excel, and BI tools (e. g. , Looker, Tableau) to transform data into actionable insights
• Strong foundation in statistics, experimentation, and program evaluation, with experience applying data to solve
  - world business problems
• An excellent communicator and strategic thinker, able to translate complex analysis into clear, actionable recommendations for stakeholders
• Fluent in English, both written and spoken
• Degree in a quantitative discipline (e. g. , Computer Science, Engineering, Math, Economics) preferred

Rewards & Benefits

• Health insurance for the whole family, flexible working environment and
  - 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

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

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Transportation, Logistics, Supply Chain and Storage

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