| Advanced Analytics Manager |
[´ã´ç¾÷¹«] - Serve as analytics lead within Market Digital Solutions - Deliver customized insights and performance-driven recommendations - Partner with division leadership on KPI tracking and strategic decision support - Promote analytics best practices and upskill business teams
O 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.
O Dashboarding & Semantic Modeling - Lead and execute analytics projects while providing ongoing support. - Design and build interactive custom dashboards for real-time tracking of key luxury retail KPIs (e.g., clienteling effectiveness, product sell-through, boutique performance, high-value client segmentation). - Develop semantic models for advanced KPI tracking, ensuring analytics reflect the nuances of luxury retail metrics and business logic.
O Business Insights & Decision Support - Analyze and explore large datasets 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. - Design and execute A/B tests to move from hypotheses to validated actions. - Apply causal inference techniques 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.
O 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 luxury retail.
O 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.
O 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. - A/B Testing & Causal Inference: Familiarity with designing experiments and applying statistical methods to validate hypotheses and measure impact.
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[ÀÚ°Ý¿ä°Ç] °æ·Â: °æ·Â 5³â¡è ÇзÂ: ´ëÁ¹ Á÷¹«±â¼ú: Advanced Analytics , Semantic Modeling
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Experience in retail and luxury retail analytics -
Experience in data visualization and dashboard development (Power BI, Tableau,
Looker, etc.) -
Proficiency in SQL, Python, PySpark, and Databricks -
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.
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Experience with luxury retail KPIs, customer journey analysis, and omni-channel
performance metrics.
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