Richemont owns some of the world’s leading luxury goods Maisons, with particular strengths in jewellery, watches, fashion and accessories. Each Maison represents a proud tradition of style, quality and craftsmanship and Richemont seeks to preserve the heritage and identity of each of its Maisons. At the same time, we are committed to innovation and designing new products which are in keeping with our Maisons’ values, through a process of continuous creativity.
This is a unique opportunity to be part of an exciting team providing core business insights driven by data, while being at the heart of our Group’s Distribution Performance tracking.
CONTEXT
An exciting opportunity within a dynamic team awaits the right candidate. This role will suit an organized person with a great eye for detail, plenty of team spirit, and a strong interest in the luxury business.
The successful candidate will embark on a new journey with the objective of assisting the team in the transformation of the Group into a data-driven company. We are looking for an Analytics Engineer who will support the Group Distribution Performance team in managing their end-to-end data products, working closely with the Group Data Office and Group Platforms teams.
HOW WILL YOU MAKE AN IMPACT?
Design, orchestrate, and optimize data pipelines to generate high-quality business performance and network data products.
Integrate data from various sources, ensuring seamless data flow and accessibility.
Develop and deploy efficient and scalable data models tailored to different business requirements and constraints.
Implement robust data validation and cleansing processes to consistently provide data accuracy and consistency.
Develop state-of-the-art data products from design to production and maintenance, ensuring alignment with business objectives.
Evaluate and improve the performance of ML models and analytics solutions.
Support coordination efforts for the roll-out of new analytics and data science initiatives across Regions and Maisons.
Collaborate with cross-functional teams to integrate analytics and data science solutions into business processes.
Foster knowledge sharing among Regions, Maisons, and other Group functions by documenting data workflows, models, and best practices.
HOW WILL YOU EXPERIENCE SUCCESS WITH US?
You hold a Master's Degree in Data Science, Statistics, Computer Science, or an equivalent quantitative field.
You have at least 4 years of experience in engineering and data science, preferably in the luxury retail industry.
You have solid experience in implementing and scaling complex projects leveraging cloud-based environments (e.g., Google Cloud Platform, with BigQuery and Vertex AI being strong assets).
You have extensive knowledge of SQL, Python, and key data processing libraries.
Experience with Git, Terraform, and ML libraries is a plus.
You are familiar with data transformation and analytics tools such as dbt and Looker.
You have a solid theoretical background in statistics and machine learning.
You are able to translate business needs and requirements into technical terms.
You have excellent communication, project management, and problem-solving skills.
You are a team player with a track record of collaboration in international organizations.
You are an out-of-the-box thinker with a creative mindset.
YOUR JOURNEY WITH US:
If your application is selected, you will be contacted for a first introductory call.
The next step from there will be a first interview with the Manager; if there is a match, you will have a personal meeting with him/her and our HR Business Partner.
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