![Richemont](https://media.trabajo.org/img/noimg.jpg)
Senior Analytics Engineer
2 semanas atrás
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.
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