Senior Analytics Engineer

Senior Analytics Engineer

  

CONTEXT 

Richemont owns some of the world’s leading luxury goods Maisons, with strengths in jewellery, fine watches & premium accessories, including Cartier, Van Cleef & Arpels, Montblanc, Roger Dubuis, Vacheron Constantin, etc.

Richemont has a strong ambition to transform its business model towards New Retail. Part of this transformation is the Group Data Office that, among others, delivers Analytics & Data Science projects for the different Maisons.

The Analytics & Data Science team, belonging to “Group Data Office”, supports this vision by developing analytics and data science use cases, defining best practices across the group, and industrializing analytics & data science solutions. This team is recruiting a Senior Analytics Engineer to work under the Lead Analytics Engineer.

 

Responsibilities

 

• Collaborate with stakeholders to understand their data needs and translate them into actionable requirements for data product development.
• Develop and maintain business-ready data products for analytics purposes using collaborative tools such as dbt or dataform.
• Leverage analytics platforms available within the Group such as Google Looker to build data visualization solutions and get actionable insights.
• Oversee the delivery process, from defining project requirements, setting up the right tools and foundations and up-skilling the end users to ensure full ownership of the developed solution.  
• Maintain the related documentation, materials & data definitions.
• Set up monitoring tools to evaluate adoption, performance, and issues of final products.
• Cooperate with the support teams to ensure data consistency, data accuracy, and performance of the delivered flows.
• Act as an active promotor of data culture and awareness through ongoing training, learning materials and support.

 

Academic Background

 

• Graduate in Master program in Engineering, Computer Science, Information Systems, or a similar field.

 

Skills & Experience

 

• 4+ years of experience in analytics and/or data engineering, ideally in an international context.
• Ability to translate business needs/constraints into technical terms.
• Proficiency in SQL programming and developing data models.
• Experienced with cloud data warehouses, preferable with GCP – BigQuery.
• Strong knowledge in analytics concepts, tools, and methodologies.
• Solid knowledge of Looker (LookML)
• Solid knowledge of data transformation tools such as dbt
• Scrum methodology knowledge is a plus.

 

 

Desired Personal Skills

 

• Excellent communication and stakeholder management skills.
• Fluent English is required.
• Willingness to grow and evolve in a constantly changing environment.
• Autonomous, proactive & curious with a strong sense of ownership.
• Quick learner, able to comprehend & intuit complex problems.
• Pragmatic mindset to problem solving, and an ability to think critically and objectively.
• Ease to collaborate in multicultural and multifunctional environments.