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Advanced Analytics Manager - ¿Ü±¹°è ÆÐ¼Ç ºê·£µå

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Advanced Analytics Manager

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- 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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Á÷¹«±â¼ú: Advanced Analytics , Semantic Modeling


- 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.

- Experience with luxury retail KPIs, customer journey analysis, and omni-channel performance metrics.


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