Data Analyst

Paris, France
20 May 2022
15 Jun 2022
Full Time
Maison Margiela is a Paris-based fashion house founded in 1988 by Belgian designer Martin Margiela. Celebrating unconventional aesthetics and embracing the philosophy that fashion is an art of expression rather than a cult of personality, Maison Margiela offers haute couture, ready-to-wear for women and men, contemporary line MM6, footwear, interior design, and accessories, including leather goods, fine jewelry and fragrance.
John Galliano was named Creative Director of the house in 2014, bringing his sense of spectacle and creative mastery to the unique ethos of Maison Margiela. Whilst developing his own vision for the house, John Galliano has entirely respected the Martin Margiela state of mind, creating a fascinating organic process.
In 2002, the French house became part of OTB. Along with sister brands of the group, Maison Margiela continues pushing the boundaries of modern fashion while preserving its distinctive identity and heritage.

Job mission

To collect data from various sources, interpret or analyze results and trends and turns it into information which can offer ways to improve the business in activities focused on the Retail, E-commerce, CRM performances

Job responsibilities and activities

Directly reporting to Global Planning & BI Manager, the Data Analyst has the following main responsibilities:

  • Monitor Sell-Out performances of direct distribution, giving insight on stores and product's results to different functions.
  • Participating to the development of new reports and future update of current reporting dashboard.
  • Control the stores master data set up ensuring the correct data visibility for the reporting.
  • Monitor seasonal Buying vs the Open-to-Buy targets during the Sales Campaign providing reports and analysis to different functions .

Skills and experience

  • A degree in Mathematics, Computer Science, Statistics, Economics
  • Proven working experience as a data Analyst or a Business data Analyst in the fashion industry
  • Experience in data models and reporting packages (Microsoft Power BI is a +)
  • Ability to analyse large datasets
  • Ability to write comprehensive reports
  • Strong verbal and written communication skills
  • An analytical mind and inclination for problem-solving
  • Attention to detail

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