Richemont, one of the world leaders in the luxury sector, has various Houses specializing in jewelry, watches and high-end accessories. Each Maison proudly embodies a tradition of style, quality and craftsmanship and Richemont strives to preserve the heritage and identity specific to each of them. At the same time, we are committed to innovating and designing new products in line with the values of our Houses, through a process of permanent creativity.
At Richemont Americas, we aspire to reflect the ever-changing world around us. We are proud to employ talent from many different backgrounds, experiences, and identities to build a continually evolving, inclusive community where the diversity of our colleagues and clients is rich and celebrated. We believe when inclusion is fully embraced and empowered, creativity and knowledge emerge to deliver excellence, advancing the community that is uniquely Richemont Americas.
Associate Analytics Engineer
Richemont | New York City, NY
Reports to: Senior Manager, Regional Analytics
Role Overview
The Analytics Engineer bridges data engineering and business analytics, transforming complex data into reliable, scalable, and business-ready data products. The role owns the end-to-end development of regional analytics solutions, from understanding business requirements and navigating source data through data modeling, testing, deployment, visualization, and ongoing optimization.
Working closely with regional Markets, Maisons, HQ, and technical teams, the Analytics Engineer enables data-driven decision-making across Client, Finance, Customer Service, with particular responsibility for supporting evolving regional needs across markets including Canada, Mexico, and Brazil.
Responsibilities
Analytics Engineering & Data Product Development
Design, build, test, document, and maintain scalable data models and analytics products supporting regional business use cases across Client, Finance, Customer Service, Supply Chain but not limited to.
Own the end-to-end delivery lifecycle of analytics products, translating business requirements into robust technical solutions and driving use cases from initial scoping through 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 underlying data models and business-facing metrics.
Data Quality, Governance & Reliability
Ensure regional analytics products provide accurate, consistent, timely, and trusted data by implementing appropriate validation, testing, monitoring, and documentation practices.
Investigate data discrepancies and collaborate with local, regional, and central teams to identify root causes and implement sustainable solutions rather than manual workarounds.
Maintain a strong understanding of the broader data landscape across regional teams, Maisons, HQ, and BIO, identifying the appropriate data assets, documentation, resources, and points of contact when resolving issues.
Business Partnership & Analytics Enablement
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 reliable technical and analytical guidance and helping stakeholders make effective use of available data.
Support regional use cases across Canada, Mexico, and Brazil, together with additional markets and business domains as priorities evolve.
Operational Support
Ensure the continuity, performance, accuracy, and relevance of existing dashboards and recurring reporting solutions through appropriate…