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Global Consumer Analytics & Insights Analyst

Gucci - Regular
MILANO - Italy

The candidate will be part of the Global Client Analytics & Insights team within the Global Client Engagement department.

In this role you will be responsible to provide accurate, relevant and actionable clients insights on a regular basis to a variety of stakeholders, both at corporate as well as at regional level. The role is based in Milan.

With a global omnichannel scope and cross-functional overview, key activities include:

  • Ensure a deep understanding of our customers, analyzing the evolution of our customer base, their demographics and transactional behavior to generate relevant insights
  • Perform consumer trends, clients profiles analysis and deep dives to top executives and corporate teams
  • Share customer knowledge and insights through an effective information flow
  • Measure and analyze return and effectiveness of marketing activities, i.e direct marketing, special projects etc.
  • Support the evolution of company analytics capabilities, developing new reports, templates and enhancing existing tools
  • Contribute to creation of a 360 vision of Gucci clients working on new client analysis leveraging on data coming from different data sources
  • Work cross functionally with other company areas (i.e., Online / Offline retail channels, Client Engagement, Product Marketing, Merchandising) to develop ad hoc analysis on specific projects

Things that should be in your background:

  • Successful studies in statistics, economics or business-related disciplines
  • 3 years of working experience preferable in CRM and/or business analytics
  • Solid analytical and statistical abilities and attention to details

Other Attributes that will help you in this role:

  • Knowledge of CRM Business Intelligence and analytics tools (e.g. MicroStrategy, Tableau, KNIME etc.)
  • Excellent Excel and PowerPoint skills
  • Fluent in both oral & written English
  • Excellent organizational, interpersonal and communication skills
  • Ability to manage multiple tasks in a fast-paced environment
  • Knowledge of R, Python, SQL or equivalent is a plus
  • Experience in Retail or Merchandising is a plus

  • Full time
  • Europe
  • Italy
Postuler

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