Farfetch exists for the love of fashion. We believe in empowering individuality. Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers.
We’re a diverse and global community made up of Farfetchers, our partners and our customers, which we believe is at the heart of our success.
Everything we do is centred around our values - Be Human, Think Global, Be Revolutionary, Todos Juntos, Be Brilliant, Amaze Customers - which define our beliefs and our actions.
We welcome difference and foster a consciously inclusive environment for everyone. We are Farfetch For All.
We’re designing impactful products and experiences that fulfil all our customer and partner needs from fashion lovers to the brands, boutiques and start-ups that operate within our platform ecosystem.
Our team covers the Farfetch.com website and apps, all our B2B products and in-store experiences. We’re passionate about what we can achieve together, continuously researching, testing, launching and refining new products to push the boundaries of what’s never been done before.
Our Porto office is located in Portugal's vibrant second city, known for its history and its creative yet cosy environment.
We welcome new ideas and a large number of our people. 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 :
You'll do analysis and tests to influence priorities, inform product development efforts, optimize existing website sections and measure the impact of the work done by the Product and Engineering teams.
You will be responsible for creating and maintaining ongoing reporting / dashboards, running A / B and multivariate tests, performing ad-hoc analyses and creating tagging requirements for new features / pages.
What you'll do :
Conduct data analysis to make business recommendations (e.g. cost-benefit, forecasting, impact analysis);
Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for business priorities.
Collaborate with cross-functional stakeholders to formulate and complete full cycle analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.
Develop custom reporting via SQL and BI tools to provide valuable information to stakeholders and leadership. Add value to requests from business leaders and build reporting logic that will produce analytical measures to tell the story of what is happening in the business.
This requires a strong understanding of business processes and data flows;
Complete analysis on current state for defined site sections to identify opportunities for improvement and create general success metrics based upon the defined business objectives;
Recommend and run A / B or multivariate tests and assess test status using statistical analysis;
Be responsible for ensuring the accuracy of data and reports to ensure a high quality of standards.
Who you are :
A professional with a minimum of 5 years of experience with data analytics, with e-commerce orientation (mandatory);
Interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation.
A graduate of a Bachelor of Science program or a higher level post-secondary educational program in Computer Science, Math, Engineering, Operation Research, or quantitative disciplines (desired);
Very skilled in Excel and SQL skills;
An excellent communicator with presentation skills, both verbal and written;
Very skilled in English, both written and spoken;
An excellent strategic thinker and with analytical skills, ideally developed in a commercial role preferably within an Internet or retail / consumer products business and / or management consulting;
Experienced in leveraging data and analytics to solve real-world problems and create new solutions;
An individual that can change directions quickly to respond to new information and changing circumstances;
Experienced with BI and data visualization tools (e.g., SSRS, Tableau, etc.) is preferred;