International Commercial Analytics Engineer

The story of Cartier is founded on audacity 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 9000+ colleagues of 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.

We would like to talk to you about the opportunity to join our Maison as International Commercial Senior Analytics Engineer, reporting to the International Commercial Data Science Manager.

In this role, you lead and deliver high-visibility data initiatives that directly drive our commercial operations. Heavily project-focused, your primary priority will be executing complex analytics projects—leveraging Google BigQuery, dbt, Looker (LookML), and Python to build scalable solutions rapidly and efficiently. While you will also oversee core platform maintenance and architectural updates, your focus will be on high-impact project delivery.

HOW WILL YOU MAKE AN IMPACT?

High-Impact Project Delivery

- Project Execution: Lead the end-to-end technical delivery of major commercial analytics projects.

- BigQuery & dbt Data Modeling: Design, build, and optimize enterprise-grade data models in Google BigQuery using dbt and advanced SQL.

- Looker Development: Build and expand our semantic layer using LookML, delivering high-performing dashboards and reports for key business stakeholders.

- Stakeholder Collaboration: Partner closely with business partners to translate project requirements into clean, scalable technical implementations.

Architecture & Platform Maintenance

- Platform Upgrades & Migrations: Act as the technical owner when platform updates, architectural shifts, or system migrations occur, ensuring seamless transitions.

- System Maintenance: Perform lightweight, proactive upkeep of our BigQuery models, dbt projects, and Looker environments to maintain optimal performance, data quality, and cost efficiency.

• You have strong hands-on experience optimizing queries, managing schemas, and building data models natively in BigQuery.
• You have deep expertise in dbt and advanced SQL modeling.
• You have a proven track record of building and managing Looker semantic models with LookML.
• You are proficient in Python for data manipulation and process automation.
• You can manage multiple high-visibility projects simultaneously, delivering quickly without compromising code quality.
• You have a strong foundation in data architecture and can lead technical migrations, version upgrades, and platform refactoring when needed.
• You collaborate effectively with commercial teams, providing practical technical solutions and guidance.
• You are fluent in written and spoken English.
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YOUR JOURNEY WITH US

If your application is selected, we will give you an introductory call to further discuss the opportunity, and next steps. If things go well on both ends, you will have a chance to meet the International Commercial Data Science Manager and the HR Partner.