{"id":2151878,"url":"https://alion.io/job/kering-kering-finance-data-analyst","title":"KERING Finance Data Analyst","company":{"id":1762937,"name":"Kering","domain":"kering.com","url":"https://alion.io/company/kering","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":81,"open_postings":34,"ghost_share":0,"stale_share":0.971,"repost_share":0,"time_to_fill_p50_days":13,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":56000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"Anomaly Detection","optional":true}],"status":"live","first_seen_at":"2026-09-16T00:00:00Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-16T06:03:38Z","board_verified":true,"closed_at":null,"days_open":30,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":30},"description":"Summary\nGroupe de luxe mondial né d’une histoire familiale et entrepreneuriale, Kering réunit un ensemble de Maisons reconnues pour leur créativité en matière de couture et de prêt-à porter, de maroquinerie, de joaillerie, de lunetterie et de beauté : Gucci, Saint Laurent, Bottega Veneta, Balenciaga, McQueen, Brioni, Boucheron, Pomellato, Dodo, Qeelin, Ginori 1735, ainsi que Kering Eyewear. Inspirées par leur histoire et par leur patrimoine, les Maisons du Groupe conçoivent et façonnent des produits et des expériences d'exception qui reflètent l’engagement de Kering pour l’excellence, le développement durable et la culture. Cette vision s’incarne dans la signature du Groupe : Creativity is our Legacy. Comptant 44 000 collaborateurs, Kering a réalisé un chiffre d’affaires de 14,7 milliards d’euros en 2025.Job Description\n[English Version Below]\nNous recherchons actuellement un(e) Finance Data Analyst pour rejoindre notre équipe « Finance Data & Analytics » à Paris, au sein de la direction financière de Kering.\nVotre opportunité\nCréée en 2020, l’équipe Finance Data & Analytics a pour mission d’accompagner les fonctions et départements du Groupe dans l’exploitation des données transactionnelles financières, notamment à travers :\nDes projets de transformation incluant les projets de migration, la conduite du changement, l’adoption des Core Model, l’optimisation des workflows et identification des inefficiences dans les processus financiers.\nLe pilotage de la performance (FP&A)\nL’excellence des processus comptables via le suivi des clôtures, la mesure de l’efficacité opérationnelle, le rapprochement des transactions\nLe contrôle interne avec des rapports d’exception, le suivi de la qualité des données, la détection d’évènements, etc\nLes objectifs principaux seront de :\nConcevoir et déployer des solutions Insight, permettant un reporting Finance global\nDévelopper, déployer et maintenir des produits dédiés aux équipes Finance, incluant des modèles sémantiques, tableaux de bord, outils self-service et analyses enrichies par l’IA.\nContribuer à positionner Insight comme une plateforme de données fiable et audit-ready, à destination des parties prenantes internes et externes.\nRenforcer les capacités de pilotage et controlling Finance en contribuant aux programmes d’efficacité opérationnelle.\nParticiper activement aux initiatives IA\nComment vous allez contribuer\nDelivery Data & Analytics\nFournir des reporting fiables, sécurisés et scalables couvrant l’ensemble des processus Finance (P2P, R2R, O2C, A2R, FP&A, etc.).\nTraduire les besoins métiers en modèles de données robustes et visualisations pertinentes, en s’appuyant sur les meilleures pratiques BI.\nIntégrer des capacités d’analyse avancée, notamment :Analyses prédictives (prévisions, analyses de tendances)\nModèles de machine learning (détection d’anomalies, classification)\nCas d’usage d’IA générative (insights en langage naturel, reporting assisté)\n\nGarantir un haut niveau de qualité des données, de performance et d’ergonomie.\nAmélioration continue & Innovation\nContribuer à l’amélioration continue des solutions analytiques Finance via les retours utilisateurs et l’analyse des usages.\nExplorer, tester et recommander de nouvelles technologies, outils et méthodologies, notamment en IA/ML et automatisation des données.\nParticiper à des proofs of concept pour valider des cas d’usage innovants avant leur industrialisation.\nContribuer à l’enrichissement du catalogue de données Finance, en garantissant complétude, clarté et exploitabilité des actifs data.\nGouvernance, Qualité & Documentation\nVeiller à ce que l’ensemble des développements respecte des standards robustes de documentation, de tests et de déploiement.\nSuivre la performance et la fiabilité des modèles de données et des dashboards, définir et mettre en œuvre des plans d’optimisation si nécessaire.\nContribuer à la data governance et aux dispositifs de contrôle interne, en assurant conformité, traçabilité et auditabilité.\nAdoption & Acculturation\nAccompagner les équipes Finance dans l’adoption des solutions BI et analytiques via : Des sessions de formation et du support utilisateur, la mise à disposition de documentation et bonnes pratiques, le développement du self-service\nContribuer aux initiatives d’adoption globale, incluant supports de formation et contenus pour la Finance Academy.\nPromouvoir une culture data-driven, favorisant l’usage des capacités analytiques et d’intelligence artificielle.\nExpertise technique & partage de connaissances\nApporter une expertise en modélisation de données, Power BI (DAX) et optimisation SQL.\nContribuer à la création et à la maintenance des référentiels de connaissances internes et des programmes de formation.\nParticiper à l’onboarding des nouveaux collaborateurs et au développement des compétences des utilisateurs Finance.\nQui êtes-vous ?\nFormation académique en finance, ingénierie, analyse d'affaires (business analytics), science des données, économie ou dans un domaine connexe.\nExpérience préalable d'environ 2 ans dans un poste similaire.\nBonne maîtrise de Power BI, SQL et Excel. La connaissance de DBT constitue un atout.\nAnglais courant ; la maîtrise du français est un atout majeur.\nProactif, curieux et à l'aise pour travailler avec des interlocuteurs internationaux.\nSolide esprit d'analyse, souci du détail et intérêt pour l'utilisation des données afin d'étayer les décisions commerciales.\n[English version]\nWe are currently seeking a Finance Data Analyst to join our Finance Data & Analytics team in Paris, in Kering Finance department.\nYour opportunity\nCreated in 2020, Finance Data domain team aims at leveraging advanced data & analytics capacities to support multiple functions and departments in their use of Finance transactional data, including but not limited to:\nTransformation projects with data migration, data cleansing, change management, adoption, workflow optimization and bottlenecks identification\nFP&A with performance monitoring, cross system analytics, multi granularity\nAccounting process excellence with closing monitoring, continuous accounting support, transaction matching (in conjunction with Blackline)\nInternal controls with exception reports, data quality monitoring, alert-based workflows, event detection\nThe mail objective of the role will be to:\nDesign and deliver Insight Analytics solutions, enabling global, system-agnostic, and scalable Finance reporting across entities.\nDevelop, deploy, and maintain modern Finance data products, including semantic models, dashboards, self-service tools, and AI-powered analytics.\nContribute to establishing Insight as a trusted, audit-ready data platform for internal and external stakeholders.\nStrengthen the Finance controlling environment contributing to Lean and efficiency programs\nActively contribute to innovation initiatives, leveraging AI/ML, automation, and advanced analytics to create business value.\nHow you will contribute\nData & Analytics Delivery\nDeliver reliable, secure, and scalable reporting across Finance processes (P2P, R2R, O2C, A2R, FP&A, etc.).\nTranslate business needs into robust data models and insightful visualizations, leveraging best-in-class BI practices.\nIntegrate advanced analytics capabilities, including:Predictive analytics (forecasting, trend analysis)\nMachine learning models (anomaly detection, classification)\nGenerative AI use cases (natural language insights, assisted reporting)\n\nEnsure high standards in data quality, performance, and usability.\nContinuous Improvement & Innovation\nContribute to the continuous improvement of Finance analytics solutions through user feedback and usage analytics.\nExplore, test, and recommend new technologies, tools, and methodologies, including AI/ML and data automation frameworks.\nParticipate in proofs of concept (PoCs) to validate innovative use cases before industrialization.\nContribute to the enrichment of the Finance data catalog, ensuring completeness, clarity, and usability of data assets.\nGovernance, Quality & Documentation\nEnsure all developments follow robust documentation, testing, and deployment standards.\nMonitor performance and reliability of data models and dashboards, define and implement optimization strategies where needed.\nContribute to data governance and internal control frameworks, ensuring compliance, traceability, and auditability.\nAdoption & Enablement\nSupport Finance teams in adopting BI and analytics solutions through:Training sessions and user support\nDocumentation and best practices\nEnablement of self-service analytics\n\nContribute to global adoption initiatives, including training materials and Finance Academy content.\nPromote a data-driven culture, encouraging usage of analytics and AI capabilities.\nTechnical Expertise & Knowledge Sharing\nProvide expertise on data modeling, Power BI (DAX), and SQL optimization.\nContribute to building and maintaining internal knowledge assets and training programs.\nSupport onboarding of new team members and upskilling of Finance users.\nWho you are\nAcademic Background in Finance, Engineering, Business Analytics, Data Science, Engineering, Economics or a related field.\nPrevious similar experience of approx. 2 years in a similar position\nGood knowledge of Power BI, SQL, and Excel. Knowledge of DBT is a plus.\nFluent in English; French is considered a strong plus.\nProactive, curious, and comfortable working with international stakeholders.\nStrong analytical mindset, attention to detail, and interest in working with data to support business decisions.\nWhy work with us?\nKering is committed to diversity and inclusion and to providing equal opportunities in employment. We believe diversity in all its forms - disability, age, color, ancestry, sex, national origin, sexual orientation, age, citizenship, marital status, gender identity, religion - enriches the workplace. It opens opportunities for people to express their talent, both individually and collectively and it helps foster our ability to adapt to a changing world. 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