Data Analytics & Business Intelligence Manager

Leadingnation; Hong Kong; On-site; HKD 900,000 - 1,200,000; Full time

Job summary

Leadingnation seeks a Data Analytics and BI Manager to drive regional BI initiatives and deliver actionable insights that improve business performance.

You will lead end-to-end BI dashboard design, collaborate with executives, IT, and external vendors, and champion a data-driven culture across the organization.

Qualifications

• 8+ years in BI solution design, data modeling, and enterprise delivery.
• Experience managing large-scale BI transformations with cross-regional stakeholders.
• Strong data warehousing, ELT/ETL, and data governance understanding.

Responsibilities

• Lead end-to-end design and deployment of BI dashboards and self-service analytics.
• Partner with business leaders, IT teams, and vendors to drive data initiatives.
• Translate complex data into clear business narratives for executives.
• Oversee data extraction, validation and KPI calculations.

Skills

Commercial acumen

Stakeholder management

Education

Bachelor's degree in Data Science/Analytics/CS/Statistics

Tools

Power BI

Databricks

Microsoft Fabric

Job description

We are seeking a Data Analytics and Business Intelligence Manager to join a global retail brand, driving regional BI and analytics initiatives that deliver actionable commercial insights and improve business performance.

In this strategic role, you will lead the end-to-end design and deployment of intuitive BI dashboards and self-service analytics tools, partner closely with business leaders, IT teams, and external vendors, and champion a data-driven culture across the organization.

The ideal candidate brings 8+ years of progressive experience in BI solution design and enterprise delivery, with advanced proficiency in Power BI – including platform-side development (not just report building). You should also have hands-on experience with Databricks and/or Microsoft Fabric , including building the Gold layer where business transformations and KPI calculations are developed. Experience implementing data pipelines and some backend development exposure are essential.

You will work across the full data lifecycle – from pipeline implementation to dashboard delivery – while also engaging with senior stakeholders to translate complex data into clear business narratives. This is an exceptional opportunity to make a tangible business impact within a globally recognized luxury brand that values data-driven decision-making and innovation.

Main Responsibilities

Strategy, Analytics & Business Impact:

• Drive BI & Analytics Initiatives: Identify, prioritize, and manage regional BI and data analytics initiatives to deliver actionable commercial insights and improve business performance.
• Dashboard Design & Deployment: Lead the end-to-end design, development, and deployment of intuitive BI dashboards, executive reports, and self-service analytics tools tailored for corporate, regional, and store-level users.
• Data Strategy Alignment: Formulate and implement data analysis strategies that align directly with broader organizational and brand goals.
• Data Extraction & Validation: Oversee the extraction, validation, and synthesis of complex datasets from diverse internal and external business applications.

Stakeholder Management & Culture:

• Cross-Functional Collaboration: Partner closely with key business leaders, IT teams, external vendors, and data engineers to drive data-led objectives and offer value-adding advisory on operational efficiency.
• Requirements & Governance: Ensure business requests are thoroughly gathered, documented, analyzed, and validated prior to technical solution design.
• Data Culture & Enablement: Drive the adoption of a data-driven culture across the organization by conducting end-user training, support, and governance initiatives to maximize BI tool utilization.

Qualifications & Experience

Experience:

• 8+ years of progressive experience in BI solution design, data modeling, and enterprise delivery, ideally within the luxury retail sector.
• Proven track record of managing large-scale, complex data/BI transformation projects with cross-regional stakeholders.

Technical Requirements (Power BI & Platform Development):

• Power BI: Advanced proficiency with platform-side development – not just building reports and dashboards. You should have experience with the development and administration of Power BI as a platform.
• Databricks & Microsoft Fabric: Hands-on experience building the Gold layer – where business transformations and KPI calculations are developed directly within the platform.
• Pipeline Implementation: Experience implementing data pipelines – comfortable working across the full data lifecycle.
• Backend Development: Some backend development experience is preferred, complementing BI and analytics capabilities.
• Data Engineering: Strong understanding of Data Warehousing, Data Lakehouse architectures, ELT/ETL workflows, data modeling, and API integrations.
• Data Governance & Quality: Solid grasp of data governance concepts, data quality control, and scalable system architectures.

Core Competencies:

• Commercial Acumen: Exceptional ability to translate complex, multi-layered data into clear, compelling, and actionable business insights for non-technical stakeholders.
• Stakeholder Alignment: Outstanding communication, presentation, and advisory skills with a proven ability to manage executive expectations effectively.

Education:

• Bachelor's degree in Data Science, Business Analytics, Information Systems, Computer Science, Statistics, or a related quantitative discipline.