Junior Data Analyst

at  Farfetch

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.

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.
  Before Applying
  Through your application, we want to understand the skills and experiences you have that make you the perfect fit for this role and for FARFETCH. We’re passionate about creating the conditions for Farfetchers to grow and develop but we’re also looking for people who can hit the ground running, so make sure to apply for a position where you feel you can thrive

THE ROLE

You will report to the Manager of Data Analytics & Asset Performance Management and become part of a team which aims to provide all Creative Operations teams automated and data-driven solutions, increasing processes’ efficiencies and leveraging business decisions and new opportunities by developing data-driven analysis. In this context, you’ll interact with a wide group of stakeholders and promote creative solutions.

WHAT YOU’LL DO

• Develop data driven dashboards in BI tools (Tableau, Looker);
• Analyze large amounts of data and be able to identify patterns, trends, seasonality and other data behaviors;
• Perform ad-hoc analysis to support business needs;
• Identify opportunities and deliver automated business solutions that meet defined goals and requirements;
• Solve business problems by leveraging data and analytics.