Advanced Analytics Manager, North Asia

About the role As the Advanced Data Analytics Manager in Fragrance and Beauty Products division, you will serve as the analytics expert supporting business through delivering customized business insights and recommendations to drive business performance. The manager partners closely with division leadership to support tailored analytics needs, KPI tracking, and strategic decision support, while also championing analytics best practices and upskilling division teams. What impact you can create at Chanel Business Partnership Serve as a strategic business partner in developing advanced custom analytics for translating business needs into impactful data insights and solutions. Collaborate with each division domain to address business questions with actionable analytical insights. Data Leadership, Dashboarding & Semantic Modeling Lead and execute analytics projects while providing ongoing support. Design interactive custom dashboard enabling real-time tracking of ad-hoc KPIs (e.g., clienteling effectiveness, product sell-through, boutique performance, high-value client segmentation). Develop semantic models for advanced KPI tracking ensuring that analytics reflect the nuances of metrics and business logic. Business Insights & Decision Support Analyze and explore large datasets to uncover patterns, trends, and performance drivers that include cross domains, cross markets or divisions through the use of analytic tools. Translate data into actionable insights by combining quantitative analysis with qualitative understanding and storytelling support mid to long term business planning. Validate insights through human feedback and stakeholder input to ensure relevance and accuracy. Leverage advanced models developed by the Data Activation and Intelligence Hub to support business operations and decision-making. Collaborate with Market teams to embed analytics into strategic and operational processes. Design and execute A/B tests to move from hypotheses to validated actions. Apply causal inference techniques when needed to identify true performance drivers. Quantify impact and prioritize initiatives by sizing opportunities, estimating ROI, and guiding resource allocation. Support division and market leadership with clear recommendations for enhancing client experience, loyalty, and conversion across channels. Continuous Improvement and Capability Building Track the adoption and business impact of delivered analytics solutions, ensuring that dashboards and insights influence key luxury retail strategies. Contribute to the development and documentation of KPI dictionaries and analytics standards tailored to luxury retail. Engage and mentor market teams via coaching sessions; co-build use cases and dashboards and KPIs. Provide structured enablement with hands-on train-the-trainer labs, playbooks, KPI dictionaries, and reusable templates. Your success Measures Improved understanding of luxury client behaviors and preferences. Increased adoption and usage of analytics dashboards by retail and clienteling teams. Clear business impact in areas such as client retention, product performance, and boutique operations. Elevated analytics literacy and data-driven culture within luxury retail divisions. You are energized by The ability to present complex analytics to non-technical luxury stakeholders. Business impact you can create through delivering exceptional client experiences and enabling data-driven luxury retail strategies. What You Will Bring Excellent business acumen and communication skills. Passion enabling data-driven insights and elevating a strong data culture. Bachelor’s or Master’s degree in Data Science, Analytics, Business, or a related field. 5+ years of analytics experience, with a strong preference for retail or luxury sector backgrounds. Experience with luxury retail KPIs, customer journey analysis, and omni-channel performance metrics. Technical Capabilities Dashboarding tools (Power BI, Tableau, or similar). SQL Proficiency: Strong hands-on experience in writing complex queries for data extraction, transformation, and analysis. Python & PySpark: Working knowledge to collaborate with data engineering and modeling teams, and to handle large-scale data processing tasks. Databricks Navigation: Ability to work within Databricks notebooks, run queries, manage workflows, and collaborate across teams. Dashboard Development: Capable of building dashboards from scratch using tools like Power BI, Tableau, or Looker, with a focus on usability and business relevance. Data Visualization: Skilled in designing clear, impactful visualizations that support storytelling and decision-making. Insight Translation: Ability to interpret raw data and transform it into actionable insights for business stakeholders. A/B Testing & Causal Inference: Familiarity with designing experiments and applying statistical methods to validate hypotheses and measure impact. 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. Seniority level Mid-Senior level Employment type Full-time Job function Research, Analyst, and Information Technology Industries Retail and Retail Luxury Goods and Jewelry #J-18808-Ljbffr