Senior Business Analyst

FARFETCH exists for the love of fashion. Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers.

We're a positive platform for good, bringing together an incredible creative community made up by our people, our partners and our customers. This community is at the heart of our business success. We welcome differences, empower individuality and celebrate diverse skills and perspectives, creating an inclusive environment for everyone. We are FARFETCH for All.

OPERATIONS

We're passionate about operational excellence, acting with our customers and partners always in our heart. Covering the entire order journey, we create our online content, secure payments and fraud process compliance, ensure order fulfilment and delivery, while providing customer and partner care. In a nutshell, we love to create seamless and memorable luxury experiences for our customers all around the world.

PORTO

Our Porto office is located in Portugal's vibrant second city, known for its history and its creative yet cosy environment. From Account Management to Technology and Product, whatever your skills are, you'll find your fit here. You can have an informal meeting in the treehouse or play the piano in your lunch break!

THE ROLE

We are seeking a highly skilled Senior Business Analyst to join our dynamic team at Farfetch. As a Senior Business Analyst, you will be responsible for creating dashboards, interpreting data, and providing insights to drive business decisions and strategies. You will work closely with service teams to understand their data needs, develop analytical solutions, and communicate findings effectively. You will be part of a multidisciplinary environment that works closely with the Data Engineering team.

WHAT YOU'LL DO

• Create dashboards and reports in Looker and Looker Studio, adding analytical quality and experience;
• Help create new metrics/data points to evolve the way we look at all Service performance;
• Monitor and control performance metrics, working with the global workforce to anticipate potential impacts and risks, monitoring any target deviations;
• Perform root-cause analysis to support business and workforce needs;
• Deep dive into our Data Model and extract information to support business decisions.

WHO YOU ARE

• Experienced in Data Analysis in a multi-channel service environment, ideally with an e-commerce orientation;
• You are detail-oriented with a demonstrably high standard for data accuracy and documentation;
• Comfortable with SQL - with relevant professional experience;
• Strong understanding of how to write performant and best practice code on large data sets in BigQuery;
• Experience with Python is highly valued;
• Comfortable working with data visualization tools - mainly Looker and Looker Studio;
• Capable of telling a story, together with presentation skills that can elevate the quality of your pitch;
• Knowledge of ELT tools and Git is a plus;
• Knowledge of WFM/WFO environments is a plus;
• Fluent in English.

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 and free access to Udemy;
• Flexible benefits program.

EQUAL OPPORTUNITIES STATEMENT

• Farfetch is committed to being an inclusive workplace where diversity in all its forms is celebrated. We make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, marital status, medical condition as defined by state law, physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, genetic information or any other classification protected by applicable federal, state or local laws or ordinances. If you require special accommodation, please let us know.

You will be part of a multidisciplinary environment that works closely with the Data Engineering team.