Advanced Analytics Manager, Watches and Fine Jewelry, North Asia job opportunity at Chanel.

Home Jobs In Hong Kong S.A.R. Tag: Watches and Fine Jewelry, North Asia Advanced Analytics Manager, Watches and Fine Jewelry, North Asia position at Chanel


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Chanel Advanced Analytics Manager, Watches and Fine Jewelry, North Asia
Experience: 5-years
Pattern: full-time
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Watches and Fine Jewelry, North Asia

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loacation Hong Kong S.A.R., Hong Kong S.A.R.
loacation Hong Kong S.A...........Hong Kong S.A.R.

About the role: As the Advanced Data Analytics Manager in the North Asia WFJ, 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. What impact you can create at Chanel: Business Partnership Act as a strategic business partner, developing advanced custom analytics to translate business needs into impactful data insights and solutions. Collaborate with each division domain to address business questions with actionable analytical insights. External Intelligence, 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. Leverage the external intelligence as needed for insights and analysis. 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 strategies. Contribute to the development and documentation of KPI dictionaries and analytics standards tailored to luxury retail. Dashboarding & Semantic Modeling Lead and execute analytics projects while providing ongoing support. Design and build interactive custom dashboards for real-time tracking of retail KPIs (e.g., clients, product sell-through, boutique performance). Develop semantic models for advanced KPI tracking, ensuring analytics reflect the nuances of metrics and business logic. Success Measures Improved understanding of 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 divisions. You Are Energised By Presenting and storytelling complex analytics to non-technical luxury stakeholders. Creating business impact through exceptional client experiences and enabling data-driven retail strategies. 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 KPIs, customer journey analysis and syntheising data into actional insights.. Experience with management consulting will be a plus. 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. 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.

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