Finance Analytics Engineer

Finance Analytics EngineerRichemont, 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.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 standardAct as the primary liaison between Group Business Analytics and the Finance Data domain lead, ensuring business priorities are represented and deliveredBuild, validate and maintain Looker dashboards and data models that serve the reporting and insight needs of the teamDrive 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 accessibleEnable the Business Analytics team to operate effectively in the new stack, upskilling colleagues and embedding good data practicesContribute to the design and continuous improvement of the team's reporting and insight infrastructureHow will you experience success with us?Master's degree in Data Analytics, Data Science, Engineering or a related field5+ years of experience in an analytics, data or BI role, ideally within a Finance contextHands-on proficiency in SQL and BigQuery; experience with Looker (LookML) is strongly preferredProven experience translating business requirements into data models, dashboards or analytical solutionsSolid understanding of Finance processes, reporting cycles and KPIs; you can speak the language of FP&AExperience working alongside a data migration or platform transformation programFluency in English is a must; French is considered a plusPersonal and methodological skillsA bridge-builder mindset: able to translate between technical and business stakeholders with easeProactive and ownership-oriented, you identify gaps and act on them without being askedStrong attention to data quality and detail, balanced with the ability to deliver pragmatically under pressureComfortable with ambiguity in a transformation context; able to help define the path forwardStructured thinker who can manage multiple workstreams and prioritize effectivelySocial skillsConfident collaborator across technical and non-technical teams, including senior leadershipClear communicator who can explain complex data concepts in plain business languageEmpathetic enabler, you get satisfaction from helping others become more capable and independent