Reference code: JR133928
The story of Cartier is founded on curiosity and passion. For more than 170 years we have embraced a bold, pioneering spirit that continues to inspire our teams across all Métiers from our boutiques to our workshops and corporate offices. Our 10,000+ colleagues of more than 105 nationalities are united by a shared independent spirit and commitment to excellence, striving to continuously enrich our Maison’s heritage by pushing the boundaries of creativity and innovation.
How will you make an impact?
As part of the MEIAT Data & Analytics team, you will support regional data users through troubleshooting, training, documentation and dashboard development, helping business teams confidently use data in their daily decisions.
User Support & Enablement
- Provide first-line support, troubleshooting dashboard issues and investigating data discrepancies.
- Support the SAP-BW to Looker migration through user onboarding, access management and practical guidance.
- Deliver Looker training and practical workshops on AI tools and knowledge agents.
- Help colleagues automate everyday workflows, such as approvals, form collection and scheduling.
Data Documentation & Governance
- Maintain the regional data catalogue, documenting tables, fields and business rules.
- Create clear data dictionaries and user guides explaining key metrics and their calculations.
- Ensure documentation remains accurate, consistent and accessible to non-technical users.
Dashboard Development
- Build intuitive Looker dashboards with clear layouts that meet Cartier’s visual standards.
- Enhance existing dashboards based on user feedback and business needs.
- Adapt dashboards for boutique, mobile and back-office use.
How will you experience success with us?
- A degree in any discipline and 0–3 years of professional experience.
- Working knowledge of SQL, experience building dashboards with a modern BI tool, and advanced Excel skills.
- A good understanding of databases and data structures.
- Fluent English and the ability to explain technical concepts simply to different audiences.
- A proactive, collaborative approach, strong attention to detail and adaptability to changing priorities.
Knowledge of LookML, dbt, BigQuery, workflow automation tools or AI knowledge agents would be an advantage.
What can you expect from us?
A hands-on opportunity within a lean regional team, gaining experience across data support, dashboard development and user training while working with boutique and business teams across MEIAT.
