BI & Analytics Manager/BI & Analytics Manager

Job description

Position Key Responsibilities

• Business Partnership & Consulting
• Partner with business stakeholders to understand strategic priorities, operational challenges and decision-making processes.
• Translate ambiguous business questions into structured analytical approaches.
• Proactively identify opportunities where data can improve business performance.
• Facilitate data-driven decision making through structured problem solving and effective business storytelling.
• BI & Dashboard Design
• Design intuitive, scalable dashboards that support operational, tactical and strategic decision making.
• Define meaningful KPIs, metrics and analytical frameworks across different business functions.
• Build reusable reporting assets and standardized performance monitoring frameworks.
• Continuously optimize dashboards based on user feedback and evolving business priorities.
• Ensure reporting focuses on actionable insights rather than data presentation.
• Data Analytics & Insight Generation Conduct deep-dive across multiple business domains, including:
• Retail Performance
• CRM Analytics
• Merchandising & Product Performance
• E-commerce & Omnichannel Typical areas include:
• Sales performance tracking
• Store performance benchmarking
• Customer lifecycle analysis
• Product affinity & cross-selling
• Event performance reporting
• Conversion funnel analysis
• Business opportunity identification
• Customer Data, Tagging & Information Layer Partner with business and tech teams to design scalable business taxonomies and tagging frameworks across enterprise data domains, including:
• Client (profile, lifecycle, preferences, engagement, value)
• Product (category, collection, style, attributes, occasion)
• Store (location, format, traffic, event, client mix)
• Client Advisor (expertise, portfolio, productivity, client interactions)
• Campaign & Marketing Activities
• Digital Touchpoints & Customer Journeys Responsibilities include:
• Translate business concepts into standardized data definitions, metadata and semantic models.
• Develop reusable business dimensions that improve reporting consistency.
• Contribute to enterprise KPI definitions and data governance standards.
• Improve analytical scalability through standardized business taxonomy and metadata management.
• Data Analysis & Delivery
• Write efficient SQL/Python to extract, transform and analyze large datasets.
• Build reusable analytical datasets and reporting logic.
• Perform exploratory data analysis to uncover trends and business opportunities.
• Collaborate with tech team to improve data quality, availability and governance.
• Develop scalable data visualization and reporting solutions.
• Support automation of manual reporting and analytical processes.
• Innovation Mindset
• Identify opportunities to automate reporting and analytical workflows.
• Explore AI-enabled analytics and next-generation Business Intelligence capabilities.
• Continuously improve analytical methodologies, visualization standards and insight delivery.

Key Requirements & Competencies

• 5–8 years of experience in BI, Commercial Analytics or Data Analytics.
• Strong understanding of retail, luxury or consumer business.
• Ability to quickly understand business processes and translate them into analytical solutions.
• Strong stakeholder management, project management and consulting capabilities.
• Excellent communication and presentation skills in both Mandarin & English.
• Advanced SQL proficiency (required). Python or R experience is a plus.
• Strong experience with BI platforms (Power BI, Tableau or equivalent).
• Familiarity with dimensional data modeling and data warehousing concepts.
• Experience with cloud analytics platforms (Databricks, Dataiku, Snowflake, Alibaba DataWorks, etc.) is advantageous. ------------------------------------------- Key Responsibilities
• Business Partnership & Consulting
• BI & Dashboard Design
• Retail Performance
• CRM Analytics
• Merchandising & Product Performance
• E-commerce & Omnichannel Typical areas include:
• Sales performance tracking
• Store performance benchmarking
• Customer lifecycle analysis
• Product affinity & cross-selling
• Event performance reporting
• Conversion funnel analysis
• Business opportunity identification
• Client (profile, lifecycle, preferences, engagement, value)
• Product (category, collection, style, attributes, occasion)
• Store (location, format, traffic, event, client mix)
• Client Advisor (expertise, portfolio, productivity, client interactions)
• Campaign & Marketing Activities
• Digital Touchpoints & Customer Journeys Responsibilities include:
• Data Analysis & Delivery
• Build reusable analytical datasets and reporting logic.
• Develop scalable data visualization and reporting solutions.
• Innovation Mindset
• Experience with cloud analytics platforms (Databricks, Dataiku, Snowflake, Alibaba DataWorks, etc.) is advantageous.