Data Analytics Manager, Corporate, North Asia and SEAA

Data Analytics Manager, Corporate, North Asia and SEAA Location: Hong Kong S.A.R. Your Role @ CHANEL In Corporate North Asia & SEAA, CHANEL is accelerating the way we use data to strengthen performance management, enable smarter decisions, and scale self‑service insight across functions such as Finance, Sustainability, Supply Chain,Real Estate,Mediaand Communications. As theData Analytics Manager, you will be the analytics expert who turns complex business questions into trusted, scalable data products-building the pipelines, semantic models,BIand AIexperiences that help teams move faster, with confidence, and with stronger governance. This role sits at the intersection of business partnership and engineering excellence: you will partner closely withCorporatestakeholders to define the right metrics and logic, while ensuring solutions areproduction‑ready, secure, and aligned with CHANEL data standards. The impact you can create at CHANEL Be the trusted analytics partner forCorporatefunctions, translating business priorities into clear requirements, validated KPI logic, and actionable data products. Engineer robust data foundationsby developing andmaintainingpipelines in Databricks / Microsoft Fabric, implementing Medallionarchitectureand ensuring reliability,scalabilityand performance. Create governed semantic models forself‑service, designing star schemas and Power BI semantic models that become the trusted source forCorporateanalytics and reporting. Deliverhigh‑qualityPower BI dashboardswith strong usability and clear storytelling, aligned withCorporateworkflows and decision moments. Spearhead AI experiences forCorporatewithconversationaland agenticAI solutions. Raise analytics capability across Corporatethrough playbooks, training,demosandhands‑onlabs, accelerating analytics literacy and adoption ofself‑servicepractices (includingAI‑assistedanalytics where relevant). Strengthen standards and governanceby contributing to KPI dictionaries, documentation, testing, and compliance requirements-supporting data privacy, accesscontroland information security. You are energized by… Designing clean, scalable solutions-from data pipelines to semantic models-that teams can rely on every day. Turning business ambiguity into clear logic, definitions and KPIs that stakeholders trust. Building intuitive Power BI experiences that helpnon‑technicalusers answer their own questions. Embracing AI in the experiences you craft for your users, as well as in the way you develop solutions. Improving how things work-optimizingperformance, reducing manual reporting, and continuously iterating based on feedback. Championing a strong data culture with engineering discipline, governance, and pragmatic enablement. What you can bring to the team… A Bachelor’s orMaster’s degree in Data Engineering, Computer Science, Analytics, ora relatedfield. 5+ years ofhands‑onexperience delivering data engineering, modelling, and analytics solutions in a production environment. Strongexpertisein Databricks / Microsoft Fabric, SQL,PySparkand modern data engineering patterns (e.g., Delta Lake, orchestration, testing, and performance tuning). Proven capability in dimensional modelling (star schema), Medallion architecture, and building governed semantic layers and KPI dictionaries. Advanced Power BI skills, including semantic modelling and DAX optimization, with a strong eye for usability and data storytelling. A collaborative, consultative mindset-able to engage stakeholders, challenge constructively, and translate needs into clear technical designs. Experience in Corporate functions and/or luxury retail is a plus. What you will learn / What CHANEL can offer you… A unique opportunity to shape howCorporateteams across North Asia & SEAA adoptself‑serviceanalytics-delivering visible impact ondecision‑makingand operational effectiveness. Hands‑onexperience working with modern cloud data platforms (Databricks, Microsoft Fabric) andenterprise‑gradegovernance standards. Exposure to diverseCorporatedomains and senior stakeholders-building strong business acumen alongside technical depth. A collaborative environment that values craftsmanship, continuous improvement, and learning-where you can help define best practices and grow your influence across the data community. At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience and potential you could bring to Chanel.