Richemont Associate Analytics Engineer

About Richemont

Richemont is one of the world’s foremost luxury groups, stewarding a distinguished portfolio of maisons across jewellery, watchmaking, fashion and accessories, including Cartier, Van Cleef & Arpels, Jaeger-LeCoultre and Montblanc. As an employer, it combines the heritage of artisanal excellence with a forward-looking culture shaped by innovation, client-centricity and responsible business. Its global teams operate in an environment that values craftsmanship, entrepreneurship and collaboration, offering opportunities to grow within iconic maisons and group functions alike. Richemont attracts professionals who aspire to contribute to enduring luxury, preserving rare savoir-faire while helping define the future of high craftsmanship.

Role & Responsibilities

• Design, build, test, document, and maintain scalable data models and analytics products for regional business use cases across Client, Finance, Customer Service, Supply Chain, and other areas.
• Own the end-to-end delivery lifecycle of analytics products, translating business requirements into technical solutions and driving use cases through scoping, development, validation, deployment, adoption, and ongoing maintenance.
• Develop and maintain transformation models using dbt and Airflow, applying appropriate modeling methodologies, reusable logic, testing, documentation, naming conventions, and engineering best practices.
• Build and maintain analytics experiences in Looker, including LookML models, Explores, dashboards, and reporting solutions, ensuring consistency between data models and business-facing metrics.
• Ensure regional analytics products provide accurate, consistent, timely, and trusted data through validation, testing, monitoring, and documentation.
• Investigate data discrepancies with local, regional, and central teams, identify root causes, and implement sustainable solutions rather than manual workarounds.
• Maintain knowledge of the broader data landscape across regional teams, Maisons, HQ, and BIO, identifying suitable data assets, documentation, resources, and contacts when resolving issues.
• Partner proactively with business stakeholders to understand challenges, clarify requirements, and translate business questions into scalable data models and analytics products.
• Serve as a key regional data partner for designated markets, functions, and Maisons, providing technical and analytical guidance and helping stakeholders use available data effectively.
• Support regional use cases across Canada, Mexico, and Brazil, as well as additional markets and business domains as priorities evolve.
• Maintain and enhance existing dashboards and recurring reporting solutions to ensure continuity, performance, accuracy, and relevance.
• Support prioritized ad hoc requests and identify opportunities to convert recurring manual analyses into automated, reusable, and scalable data products.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Data Science, Statistics, Mathematics, Information Systems, or a related quantitative field; a master’s degree is a plus.
• At least 3 years of experience in analytics engineering, data engineering, business intelligence, data analytics, or a comparable data-focused role.
• Demonstrated experience developing data models and analytics products from business requirements through production deployment.
• Experience working with complex datasets and translating business requirements into maintainable technical solutions.
• Experience partnering directly with technical and non-technical stakeholders in a cross-functional environment.
• Strong proficiency in SQL and experience with cloud data warehouses, preferably Google BigQuery.
• Hands-on experience with dbt for data transformation, modeling, testing, and documentation.
• Strong knowledge of Looker, including LookML, data modeling, Explores, and dashboard development.
• Working knowledge of Git/GitLab and modern version-control and code-review practices.
• Understanding of data-modeling principles, data quality, testing, documentation, and analytics engineering best practices.
• Experience with workflow orchestration.
• Experience with data observability solutions such as Monte Carlo and data-catalog capabilities.
• Familiarity with Python or another programming language used for data processing or automation.
• Experience working within cloud-based analytics ecosystems and shared or federated data environments.
• Strong analytical and problem-solving skills, including the ability to investigate complex data issues and identify sustainable solutions.
• Strong ownership mindset and ability to independently drive a data use case from business problem through production delivery.
• Ability to balance technical excellence, business value, scalability, and delivery speed.
• Strong communication skills and ability to explain complex data and technical concepts to non-technical audiences.
• Proactive and persistent approach to resolving dependencies and blockers.
• Ability to collaborate effectively across regional Markets, Maisons, HQ, business functions, and technical teams.
• High attention to detail and commitment to data accuracy, documentation, and maintainability.
• Ability and willingness to continuously learn and adopt evolving technologies and analytics-engineering practices.

Skills

Experience

At least 3 years in analytics engineering, data engineering, business intelligence, data analytics, or a comparable data-focused role.

Education

Bachelor’s degree in Computer Science, Data Engineering, Data Science, Statistics, Mathematics, Information Systems, or a related quantitative field; a master’s degree is a plus.

Compensation

The base compensation for this position ranges from USD 95,000 to USD 105,000 per annum.

Benefits

Medical, dental, and vision programs; health savings and flexible spending accounts; life insurance and disability benefits; 401(k) with employer match; paid time off; wellness reimbursement; employee assistance program; and volunteer days off.

Culture

Richemont fosters a refined, international workplace where its Maisons preserve exceptional craftsmanship while benefiting from the strength and perspective of a global luxury group. As an employer, it values long-term stewardship, collaboration, innovation, and the development of talent within an environment shaped by heritage, creativity, and high standards.

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.