Reference code: JR129663
Richemont owns some of the world’s leading luxury goods Maisons, with particular strengths in jewellery, fine watches and premium 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.
CONTEXT
We are looking for a Finance Analytics Engineer to translate business needs into data requirements, validating outputs and enabling our FP&A organization to work effectively in the new data environment.
This is not a pure engineering role. The ideal candidate combines analytical engineering capability, comfortable with SQL, BigQuery and Looker, with strong Finance domain fluency and the communication skills to bridge the technical and business worlds. You will be embedded in a small, high-impact team and will work closely with the Group Data Office, Finance Process & Data, and FP&A leadership.
HOW WILL YOU MAKE AN IMPACT?
Own the FP&A requirements for the GCP/Looker migration, defining what data FP&A needs, in what form, and to what quality standard
Act as the primary liaison between Group Business Analytics and the Finance Data domain lead, ensuring business priorities are represented and delivered
Build, validate and maintain Looker dashboards and data models that serve the reporting and insight needs of the team
Drive adoption of the new data platform within the Central Group Finance organization, providing training, documentation and ongoing support to non- technical stakeholders - Identify and close data gaps: working with upstream teams to ensure the right data assets exist, are accurate and are accessible
Enable the Business Analytics team to operate effectively in the new stack, upskilling colleagues and embedding good data practices
Contribute to the design and continuous improvement of the team's reporting and insight infrastructure
HOW WILL YOU EXPERIENCE SUCCESS WITH US?
Education, Experience and Core Competencies
Master’s degree in Data Analytics, Data Science, Engineering or a related field
5+ years of experience in an analytics, data or BI role, ideally within a Finance context
Hands-on proficiency in SQL and BigQuery; experience with Looker (LookML) is strongly preferred
Proven experience translating business requirements into data models, dashboards or analytical solutions
Solid understanding of Finance processes, reporting cycles and KPIs; you can speak the language of FP&A
Experience working alongside a data migration or platform transformation program
Fluency in English is a must; French is considered a plus
Personal and Methodological Skills
A bridge-builder mindset: able to translate between technical and business stakeholders with ease
Proactive and ownership-oriented, you identify gaps and act on them without being asked
Strong attention to data quality and detail, balanced with the ability to deliver pragmatically under pressure
Comfortable with ambiguity in a transformation context; able to help define the path forward
Structured thinker who can manage multiple workstreams and prioritize effectively
Social Skills
Confident collaborator across technical and non-technical teams, including senior leadership
Clear communicator who can explain complex data concepts in plain business language
Empathetic enabler, you get satisfaction from helping others become more capable and independent
