Associate Analytics Engineer

Richemont (Cartier/Van Cleef); New York (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

Richemont Americas in New York City seeks an Associate Analytics Engineer to bridge data engineering and business analytics. You will own end-to-end development of regional analytics solutions, partnering with Markets, Maisons, HQ, and technical teams to deliver trusted data products across Client, Finance, and Customer Service.

You will design scalable data models, maintain Looker dashboards, and ensure data quality and governance for Canada, Mexico, Brazil, and other markets as priorities

Qualifications

• 3+ years in analytics engineering or data-focused roles.
• Experience modeling data and delivering production analytics.
• Experience partnering with technical and non-technical stakeholders.

Responsibilities

• Design and deliver scalable data models and analytics products.
• Own end-to-end delivery from scoping to deployment and maintenance.
• Develop Looker dashboards and LookML models.
• Ensure data quality and governance across regional analytics.

Skills

SQL proficiency

Data modeling

Cross-functional collaboration

Communication skills

Education

Bachelor's degree in a related field

Master's degree preferred

Tools

Looker

dbt

Airflow

Job description

Company Overview

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 maintenance and enhancement.
• Support prioritized ad hoc requests while identifying opportunities to convert recurring manual analyses into automated, reusable, and scalable data products.

Qualifications

Education

• Bachelor's degree in Computer Science, Data Engineering, Data Science, Statistics, Mathematics, Information Systems, or a related quantitative field.
• Master's degree is a plus.

Experience

• 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 both technical and non-technical stakeholders in a cross-functional environment.

Technical Skills

• Required or strongly preferred: Strong proficiency in SQL and experience wo