Business Analytics Manager

KOS International Limited; Hong Kong Island; On-site; HKD 900,000 - 1,150,000; Full time

Job summary

KOS International Limited is seeking an experienced Business Analytics Manager to lead analytics, reporting and insights across a dynamic, cross-functional business. This role will shape the analytics roadmap, improve data-driven decision-making, and deliver practical commercial and operational improvements.

You will partner with Sales, Marketing, Operations, Finance and Product to define KPI requirements and build scalable dashboards. Strong SQL and BI tool skills are essential.

Qualifications

• 7+ years in business analytics or BI.
• Experience leading analytics projects or teams.
• Strong KPI design, data modelling and dashboards.
• Advanced SQL with joins, CTEs, window functions.
• Proficient in Power BI, Tableau or Looker.
• Able to communicate insights to technical and non-technical stakeholders.
• Experience in cross-functional, fast-paced environment.
• Experience in e-commerce, consumer goods, retail preferred.

Responsibilities

• Define and drive the analytics roadmap aligned with priorities.
• Partner with Sales, Marketing, Ops, Finance and Product.
• Develop executive dashboards and self-service reports.
• Establish KPI definitions and reporting standards.
• Translate data into actionable insights for senior stakeholders.
• Improve data quality, governance, and documentation.
• Lead forecasting, segmentation, attribution and optimization.
• Mentor team members or external resources when relevant.

Skills

KPI design

Data modelling

Reporting governance

Dashboard development

Advanced SQL

Communication

Cross-functional experience

Data quality frameworks

Data integration concepts

Forecasting

Tools

Power BI

Tableau

Looker

SQL

Python

Job description

Our client is seeking an experienced Business Analytics Manager to lead analytics, reporting and insight generation across a dynamic, cross-functional business. This role will shape the analytics roadmap, improve data-driven decision-making, and deliver practical commercial and operational improvements.

Responsibilities

• Define and drive the business analytics roadmap in line with commercial and operational priorities.
• Partner closely with Sales, Marketing, Operations, Finance and Product teams to identify business questions, KPI requirements and high-value analytics use cases.
• Develop and maintain executive dashboards, performance reports and scalable self-service reporting tools.
• Establish clear, consistent KPI definitions and reporting standards across functions.
• Translate complex data into actionable insights, including trend analysis, root-cause investigation and clear recommendations for senior stakeholders.
• Improve data quality, governance and documentation, including data ownership, metric definitions, validation rules and access controls.
• Work with internal technology or data teams to ensure data pipelines, reporting processes and analytics outputs are accurate, reliable and timely.
• Lead analytics initiatives such as forecasting, customer segmentation, cohort analysis, marketing effectiveness, attribution and operational optimisation.
• Manage project timelines, stakeholder expectations and, where relevant, mentor junior team members or external resources.

Requirements

• Around 7+ years' experience in business analytics, business intelligence, data analytics or a related discipline.
• Prior experience leading analytics projects, programmes or team members.
• Strong hands-on experience in KPI design, data modelling, reporting governance and dashboard development.
• Advanced SQL skills, including complex joins, CTEs, window functions and query optimisation.
• Proficiency in Power BI, Tableau, Looker or similar BI and visualisation platforms.
• Strong ability to communicate analytical findings clearly to both technical and non-technical stakeholders.
• Experience working with cross-functional commercial teams in a fast-paced environment.
• Exposure to data quality frameworks, data integration concepts and reporting documentation.
• Experience in e-commerce, consumer goods, retail or another high-volume commercial environment is preferred.
• Python, forecasting, A/B testing, attribution modelling, CRM platforms and ERP/finance-system exposure will be advantageous.