Senior Data Enablement Analyst — Enterprise Insights

KOS International Limited; Hong Kong; On-site; HKD 900,000 - 1,200,000; Full time

Job summary

KOS International Limited is seeking a Senior Business Data Analyst (Data Enablement) to support enterprise data transformation and enablement initiatives. You will translate business requirements for reporting and analytics into clear data solutions, driving data accessibility, quality and user adoption across the organisation.

You will bridge business and technical teams, support data governance and metadata management, and work with large-scale data platforms.

Qualifications

• 7+ years in business analysis, data enablement or data platform delivery.
• Experience with enterprise data platforms, data warehouses or large-scale data environments.
• Strong knowledge of data governance, data quality, metadata management and data lifecycle.

Responsibilities

• Gather and analyse business requirements related to reporting, analytics, decision support and data consumption.
• Collaborate with Data Engineers and platform teams to translate business requirements into data and functional specifications.
• Support data enablement initiatives including data documentation, data discoverability, user guidance and adoption activities.
• Coordinate with governance and business teams to establish data definitions, standards and best practices.
• Facilitate workshops, requirement discussions, testing activities and post-implementation reviews while supporting continuous platform improvements.

Skills

Business analysis

Data enablement

Data governance

Data quality

Metadata management

Stakeholder management

Communication

Job description

KOS International Limited is seeking a Senior Business Data Analyst (Data Enablement) to support enterprise data transformation and enablement initiatives. You will translate business requirements for reporting and analytics into clear data solutions, driving data accessibility, quality and user adoption across the organisation.

You will bridge business and technical teams, support data governance and metadata management, and work with large-scale data platforms.