Customer Data Analyst (F/M)

Résumé du poste
CDI
Paris
Télétravail non autorisé
Salaire : Non spécifié
Expérience : > 5 ans
Éducation : Bac +5 / Master
Compétences & expertises
Dataiku
Lever
SQL
Python
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Lacoste
Lacoste

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Le poste

Descriptif du poste

Context

Within the HQ Lacoste Client & Data team, the Customer Analytics team ensures that all the strategic and tactical decisions are driven by relevant Customer Insights.

The Customer Analytics Team works transversally with following teams:

  • The other Client & Data Teams (Community Strategy team, Customer Engagement Project team)
  • The other business teams (Campaign Management Team, Digital Flagship, Retail, etc)
  • The business teams in the markets (Marketing Directors & CRM Managers)
  • The BI/IT teams

Reporting directly to the Head of Customer Analytics, we are hiring a Customer Data Analyst, for whom the principal mission is to:

Develop Customer Knowldege and make it a lever of Business growth through

  • Providing relevant kpis for the deployment and/or reshaping of our loyalty programs
  • Advising on the best customers segments to animate and relevant offers and activations to set up through the analysis of customer behaviours and customers extracts
  • Measuring the success of our loyalty programs and all the customer activations carried out by the markets (~15 markets)
  • Creating and/or Designing relevant reports to enable the different teams (HQ & Markets) to track their performance
  • Carrying out Adhoc analysis to help markets and HQ teams (Brand Experience, Digital Flagship, Products etc…) to get a deeper understanding of their customers
  • Identifying areas of growth through AI initiatives

Profil recherché

Educational Background : Equivalent of Master (Bac +5) in Statistics / Data Science

Working Experience : Minimum of 5 years of experience as a data analyst preferably in Marketing / Retail environment

Skills :

  • Solid analytical / statistical knowledge
  • Experience working with large databases
  • Coding expertise (SQL / Python / R)
  • Strong knowledge of Dataiku
  • Familiar with using data visualization tools (such as Qlik Sense)
  • Fluent in English
  • Able to transform data into relevant Insights and recommendations and explain analytical concepts to all kind of audiences
  • Able to manage analytical projects from start to finish with a high level of autonomy (brief, methodology, presetation)
  • Curious , Rigorous and Team spirit oriented

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