Client Lead Data Analyst (H/F)

Job description



Reporting to the Global CRM & Data Director, the CLIENT LEAD DATA ANALYST will be in charge of monitoring client performance, complete studies on our clients, ensuring database quality, enabling retail organization to fully monitor their performance by defining the KPI's to be tracked and analyzing the performance. In order to meet CELINE ambitious growth plan, he / she will be in charge of developing decision models to enrich our customer knowledge and lead all internal / external developments regarding Client data models.

With a strong connection with operational teams, he/she will have to leverage a strong understanding of the Retail industry to drive analysis that will deliver value for the Company.


Data Quality

  • Ensure data quality, availability and usability and propose new processes to improve CELINE data quality (including cleansing, merge, data enrichment)

AI Projects

  • Enrich client data by proposing new models (e.g. IA, machine learning): product recommendations, new targeting methods, look-alike, etc.
  • Define and implement test/measurement methodology to ensure long run effectiveness of existing IA use cases

Client Insights & Dashboarding

  • Define & execute CRM dashboards with a clear focus on actionable KPIs
  • Complete ad-hoc analysis on CELINE clients to understand clients’ behaviour and support Management team

CRM Performance

  • Support business teams (Clienteling / Retail) on action plans definition by:
    • Defining relevant targets for each clienteling program by controlling the marketing pressure / client responsiveness to solicitations...
    • Proposing and implementing performance measurement KPI’s and metrics
    • Contributing to CRM & omnichannel projects on data impacts (Data integration / In-store apps / Business Intelligence / client service center / client satisfaction surveys, etc.)
  • Support local teams in the way they use / leverage our Client Data / reports: training, coaching, etc.

Overall, be the main owner of client data usage and interpretation across other teams in the Maison (Retail, Merchandising, Finance, etc.)

  • Background
    • Master in Statistics or Engineering School
    • 7+ Expérience in the luxury/retail business
  • Professional skills
  • Ability to listen and communicate
    • ROI-Driven and ability to provide actionable insights
    • Ability to collaborate with different stakeholders : IS, Retail, LVMH group…
    • Ability to deliver projects in a challenging international context
  • Technical skills
    • Microsoft SQL Server, GCP, Dataiku
    • Master ML algorithms (XGBoost, Random Forest, Regression, etc...)
  • Fluent English speaker

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