Advanced Analytics Manager, Fashion, North Asia

Advanced Analytics Manager, Fashion, North Asia Join to apply for the Advanced Analytics Manager, Fashion, North Asia role at CHANEL . As the Advanced Data Analytics Manager in the Fashion division, you will serve as the analytics expert supporting the business by delivering customized business insights and recommendations to drive performance. You will partner 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. Business Partnership Act as a strategic business partner, developing advanced custom analytics to translate business needs into impactful data insights and solutions. Collaborate with different stakeholders, including NA Fashion regional metier leads, to address business questions with actionable analytical insights. Data Analysis, Dashboards & Modeling Lead and execute analytics projects while providing ongoing support. Design and build interactive custom dashboards that complement the existing ones and connect across different functions, enabling innovative ways to analyze data leading to new insights and initiatives. Develop semantic models for advanced KPI tracking and leading insights to support the vision of North Asia Fashion: Lead Beyond, ensuring analytics reflect Chanel values and vision. Business Insights & Decision Support Analyze and explore large data sets to uncover patterns, trends, and performance drivers across domains, markets, or divisions. Translate data into actionable insights by combining quantitative analysis with qualitative understanding and storytelling to support mid‑to‑long‑term business planning. Validate insights through human feedback and stakeholder input. 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. 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. Impact Measurement & Standards Track the adoption and business impact of delivered analytics solutions, ensuring dashboards and insights influence key luxury retail strategies. Contribute to the development and documentation of KPI dictionaries and analytics standards tailored to Brand’s values and vision. Success Measures Improved understanding of client behaviors and preferences. Increased adoption and usage of analytics dashboards by business users. Clear business impact in areas such as client retention, product performance, and boutique operations. Elevated analytics literacy and data‑driven culture within the division. You Are Energised By Making an Impact: Energized by seeing how data‑driven solutions directly improve business outcomes, client experiences, and the success of luxury products. Bridging Business and Analytics: Motivated by translating complex data into compelling stories that empower non‑technical stakeholders to make informed decisions. Championing Data Culture: Finds satisfaction in elevating data literacy across the organization and fostering a culture where data is trusted and valued. Continuous Learning: Excited by the fast pace of change in both luxury retail and data technology, always seeking new ways to innovate and improve processes. Collaboration: Draws energy from working cross‑functionally—engaging with business, corporate functions and analytics teams to deliver impactful results. What You Will Bring Excellent business acumen and communication skills. Passion for 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, preferably in retail or luxury sectors. Experience with luxury retail KPI’s and customer journey analysis. 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 for collaboration with data engineering and modeling teams, and handling 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, focusing 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. Seniority level Mid‑Senior level Employment type Full‑time Job function Research, Analyst, and Information Technology Industries Retail and Retail Luxury Goods and Jewelry 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. #J-18808-Ljbffr