Data Analyst - FARFETCH

Location
AE Dubai
Posted
01 Jun 2022
Closes
25 Jun 2022
Ref
e277695e-f369-45a5-ad17-fc356d8461bd
Function
Marketing
Level
Manager
Hours
Full Time
This is an exciting role for a strong data analyst who is passionate about problem solving and data. Data analysts play an instrumental role in strategic decision making, data-driven approach and long term success of Farfetch. Based in Dubai, U.A.E. you will be contributing our efforts to grow Farfetch presence in EMEA and also contribute to global projects.

We are a revolutionary e-commerce company that brings the world's best independent fashion boutiques to an international audience for a unique shopping experience. Our vision is to change the way the world shops for fashion. We have rapidly grown into a truly global company since our launch in 2008 and we're continuing to grow. We have offices in London, Porto, Guimaraes, Moscow, New York, Los Angeles, Tokyo, Hong Kong, Shanghai and Sao Paulo and Dubai. We're a company with an entrepreneurial spirit and innovative culture. We are positive, passionate and live our values: Be human, Be brilliant, TodoĊ› Juntos, Be Revolutionary and Think Global and Amaze Customers day to day.

What you will do:

    • Effectively translate data into actionable insights and communicate them to key stakeholders and senior leadership through reports and presentations
    • Design and build reports and dashboards using best practices to support business functions
    • Identify acquisition, retention and commercial opportunities based on data, industry trends and competitive environment
    • Establish KPIs to measure the effectiveness of business decisions
    • Apply analytical and modelling techniques to measure sales incrementality for key initiatives
    • Identify areas of opportunity for automation of reports


Who you are:

    • A professional with 1-3 years of experience in a data role, preferably in an internet company
    • Strong analytical and quantitative skills, experience using data and metrics to test theories, confirm assumptions, and measure success
    • Expert in SQL. BigQuery experience is a plus
    • Familiar with data visualisation tools such as Looker, Tableau, Google Analytics, Data Studio, PowerBI or Microstrategy
    • Degree educated. A quantitative field considered a bonus
    • Advanced Excel knowledge
    • Advanced in English, both written and oral
    • Excellent written and oral communication
    • Fun to work with
    • Using R or Python for statistical modelling is a plus
    • Experience in Digital Marketing and Retention Analytics is a plus
    • Curious about learning and applying data science to solve business problems
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