Junior Data Analyst

PT Porto, Portugal

Farfetch

Farfetch bietet die weltweit größte Auswahl an Luxusmode für Damen und Herren. Shoppen Sie die aktuellen Kollektionen von internationalen Designern und Labels auf einer Webseite.

View company page

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.
CREATIVE OPERATIONSWe're a creative family, building copy, data and visual assets for each corner of the FARFETCH Ecommerce Platform. We are dedicated to providing gold standard imagery, content and production services for our partners and creating an engaging on-site experience for our customers.
PORTOOur Porto office is located in Portugal's vibrant second city, known for its history and its creative yet cosy environment. You can have an informal meeting in the treehouse or play the piano during your lunch break!
THE ROLEYou 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.

WHO YOU ARE

  • A graduate of a Bachelor of Science program in Mathematics, Engineering, Computer Science, Physics or similar;
  • Fluent in English, both written and spoken (mandatory);
  • Knowledge of programming languages (eg Python, SQL) (mandatory);
  • Knowledge of predictive analytics (preferably);
  • Knowledge of data visualization tools (preferably);
  • Curious mindset and team player;
  • A good communicator.

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.
Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Classification Computer Science Data Analytics Data visualization E-commerce Engineering Looker Mathematics Physics Python SQL Tableau

Perks/benefits: Flex hours Health care Insurance

Region: Europe
Country: Portugal
Job stats:  39  15  0
Category: Analyst Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.