CDD - International Client Data Analyst
Meyrin, GE, CH
Richemont
Built for the long term, Richemont nurtures the distinctive craftsmanship, innovative spirit and creative inspiration of its Maisons and businesses.This position is embedded within the dynamic Client Marketing team, which is built on four key pillars: Client Relations, Client Services, Client Insights, and Client Marketing Data & Knowledge.
Empowering Client Knowledge
As an International Client Data Analyst, you'll be part of the Client Marketing Data & Knowledge team, reporting to the Head of International Client Data Science and Analytics. This position offers a unique opportunity to contribute to the Maison's Client Knowledge strategy with the roll-out of the Client Advanced segmentation. You will collaborate with very diverse teams (Product Marketing, Client Marketing centrally and regionally, Group Technology, Cartier Data Office…) to create synergies; leveraging both your business and technical skills.
HOW WILL YOU MAKE AN IMPACT?
Be the Customer Knowledge Business Insight Owner
- Enrich & maintain our Client Analytics Platform for Customer Knowledge (data related to transaction and clients, including purchase patterns).
- Define enhancement roadmap: Liaise with our region champion and our central users to gather the needs, refine and prioritize the enhancement roadmap of the Customer knowledge data in our Analytics Platform.
- Test and document: Test new enhancements and document them to ensure good understanding of our 800+ active users.
- Share Knowledge: Train and support users on the reports, empower them to extract valuable insights and leverage the data effectively. Enable community sharing on best practices analysis.
Roll-out our Client Advanced segmentation
- Project Management: Lead the organization of the transversal organization of the project from kick-off to launch; liaising with the regions and the central teams.
- Define the Advanced segmentation: In close collaboration with the Client Data scientist and the region, define the different segments in alignment with the regional business priorities.
- Champion adoption: Accompany regional team in building and enforcing their adoption plan, ensuring transversal usage of the client advanced segmentation.
- Facilitate best practice sharing: Leveraging examples from launched regions, foster sharing and highlight best practices.
Search for strategic insight on our Clients’ behavior to drive decision
- Answer Business Questions: Deep-dive in the Client Marketing data to conduct analysis and extract strategic insights to answer our business stakeholders and drive Customer insights based on our 1st party data.
- Master presentation: Deliver impactful and actionable learnings by adapting presentation to audience.
- Diffuse Client Knowledge: Identify key audiences and share the insight and the methodology to autonomize our community.
HOW WILL YOU EXPERIENCE SUCCESS WITH US?
- Academic Background: You have 5+ years of experience in Computer Sciences, Computer Engineering or from a generalist Engineering/Business school with a specialization in data.
- Analytical Mindset: You possess a strong analytical mindset, problem-solving skills, and a creative approach to data analysis.
- Technical Proficiency: You have proven experience with SQL and ideally some knowledge of a data visualization tool (Looker would be highly appreciated, Power BI is a plus).
- Organizational and Project management Skills: You are organized, detail-oriented, and adept at prioritizing tasks effectively. You know how to lead a project from kick-off to closure; working in a highly transversal and collaborative context.
- Communication & Collaboration: You excel at communication, collaboration, and organization, with the ability to interact effectively with diverse teams.
- Language Fluency: You are fluent in both French and English, both written and spoken.
- Office Suite Proficiency: You are comfortable working with the Microsoft Office suite (Excel, PowerPoint, Teams, etc.)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data visualization Engineering Excel Looker Power BI SQL
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