Advanced Data and Digital Analytics Manager

Job Purpose
The Advanced Data & Digital Analytics Manager, Taiwan leads local data insights and digital measurement, aligned with regional strategy, governance, and platforms.

The role provides expert analytics support to business counterparts, delivering advanced analysis and driving report automation. It leads agencies in developing and maintaining dashboards, oversees Google Analytics, tagging, and SEO measurement, and supports global and regional data projects. The Manager also strengthens local data capability through training and a connected Taiwan data community.

Key Responsibility

Data Analytics & Business Insights

• Lead advanced data analytics and digital measurement for Taiwan within the Tech & Digital Solutions team.
• Partner with business divisions to translate priorities and business questions into analytics use cases, actionable insights, and recommendations.
• Drive the adoption and business impact of regional and global data, analytics, and digital capabilities in Taiwan.
• Promote the use of approved dashboards, data products, KPI frameworks, and self-service tools to reduce fragmented reporting and ungoverned local solutions.

2. Digital Measurement, Tagging & Search Performance

• Lead Taiwan’s digital measurement requirements, including analytics dashboards, web/app tagging and tracking, customer-journey measurement, data-quality validation, and performance reporting.
• Support SEO and GEO measurement by providing local search, content, customer-intent, and digital-performance insights, aligned with regional Digital and Content strategies.
• Coordinate specialist agencies across analytics, tagging, SEO/GEO, and measurement, ensuring high-quality delivery, local relevance, knowledge transfer, and compliance with regional standards.

3. Regional & Global Collaboration

• Act as the key bridge between Taiwan and Regional Data & Digital teams.
• Represent Taiwan market needs, user feedback, local operating realities, and relevant regulatory considerations in regional initiatives and roadmaps.
• Support regional and global transformation projects locally, including solution rollout, requirements gathering, testing, stakeholder engagement, adoption, and value-realisation activities.
• Operate in line with regional governance, standards, platforms, and strategic direction.

4. Data Capability & Culture Building

• Build the Taiwan Data Community by developing data champions and connecting local teams with regional communities of practice.
• Deliver training and workshops on data literacy, dashboard usage, self-service analytics, and data storytelling.

You Are Energized By

• Presenting and storytelling complex analytics to non-technical luxury stakeholders.
• Creating business impact through exceptional client experiences and enabling data-driven luxury 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.
• 7+ years of analytics experience, preferably in retail or luxury sectors.
• Experience with luxury retail KPIs, customer journey analysis, and omni-channel performance metrics.

Technical Capabilities

• Data Analysis & Reporting: Working knowledge of SQL and data-querying concepts to support data extraction, validation, analysis, and reporting.
• SQL Proficiency: Strong hands-on experience in writing complex queries for data extraction, transformation, and analysis.
• Python: 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.
• 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.
• Google Cloud, AI & Data Platforms: Familiarity with Google Cloud products and Gemini Enterprise is a plus, particularly for data and analytics, automation, and AI-enabled business use cases.
• A/B Testing & Causal Inference: Familiarity with designing experiments and applying statistical methods to validate hypotheses and measure impact.