p-- /ppA career in Maison Valentino is your chance to grow in a reality where business and creativity meet and thrive in an inclusive, and open-minded community. Maison Valentino believes in a colleague-centric approach, where our contribution and behaviors as individuals are the secret of our success as a community. Each Valentino colleague is crucial to guarantee that every need in Valentino is met with mastery, creativity, uniqueness, and care. The Clienteling Analysis Specialist supports the analysis and optimization of clienteling performance across channels and markets. The role leverages customer data, engagement metrics, and business insights to monitor clienteling effectiveness, identify opportunities to enhance customer relationships, and support data-driven decision making on clienteling matters across the organization. /ph3Main Duties and Responsibilities: /h3ulliAnalyze customer engagement, clienteling activities, and purchasing behaviors to identify trends, opportunities, and areas for improvement. /liliMonitor clienteling performance through dashboards, reports, and KPI tracking. /liliSupport the development of customer segmentation and targeting analyses to drive personalized engagement strategies. /liliEvaluate the effectiveness of clienteling initiatives and provide recommendations based on data insights. /liliEnsure the accuracy, consistency, and reliability of customer data used for clienteling analysis. /liliManage and monitor customer assignment and portfolio management processes. /liliSupport the creation and maintenance of reporting tools and dashboards related to clienteling and customer engagement performance. /liliContribute to the identification of opportunities to improve clienteling processes, customer journeys, and engagement effectiveness. /liliSupport CRM and clienteling data integration activities to ensure data availability and reporting accuracy. /liliPrepare presentations and ad hoc analyses for management and key stakeholders.



/liliConduct ad hoc analyses on client base evolution, VIC performance, acquisition, retention and reactivation initiatives. /liliTranslate complex customer data into actionable business recommendations. /liliCollaborate with other departments as Retail, Merchandising and Regional teams to understand business needs and provide analytical support. /li /ulh3Requirements: /h3h3Experience: /h3ulli3-4 years of experience in CRM Analytics, Customer Analytics, Clienteling Analytics or related analytical roles. /liliPrevious experience within Fashion, Luxury, Retail companies is preferred. /li /ulh3Technical Skills /h3ulliStrong analytical and problem-solving skills with the ability to interpret large and complex datasets. /liliAdvanced proficiency in Microsoft Excel and PowerPoint. /liliExperience with business intelligence and data visualization tools such as Power BI, Tableau, Qlik Sense, or similar. /liliFamiliarity with CRM platforms and customer databases. /liliKnowledge of SQL for data extraction and analysis is considered a strong plus. /liliExperience with Databricks or other cloud-based analytics environments is highly preferred. /liliBasic knowledge of data warehousing, data lakes, and modern data ecosystems is a plus. /li /ulh3Soft Skills /h3ulliStrong attention to detail and accuracy. /liliBusiness-oriented mindset with the ability to connect data and commercial performance. /liliExcellent communication and presentation skills. /liliAbility to manage multiple priorities in a fast-paced environment. /liliProactive attitude and problem-solving approach. /liliTeam player with strong interpersonal skills. /li /ulpThe Valentino ecosystem is home to a wide and extraordinary pool of talents, each colleague contributing with their unique attributes, nurturing a culture of inclusivity and equality. Inspiring sense of belonging, passion and engaging colleagues are the bases of our inclusive and multifaceted world. /pp-- /ppClienteling Analysis Specialist Clienteling Ana Milano /p #J-18808-Ljbffr

📌 Clienteling Analysis Specialist Clienteling Ana (Milano)
🏢 Valentino
📍 Milano