Senior BI & Data Analytics Lead

Randstad Hong Kong Limited; Hong Kong; On-site; HKD 390,600 - 781,200; Full time

Job summary

Randstad Hong Kong Limited invites a hands-on Business/Data Analyst to join our agile delivery team in Hong Kong. You will gather requirements, translate them for technology teams, and create dashboards and reports using BI tools to drive data‑driven decisions across the business.

You will collaborate with analysts, data engineers, and project managers, facilitate workshops, ensure data quality, and support governance processes.

Qualifications

• 3+ years experience in BA/DA roles.
• Experience with BI tools for dashboards.
• Data cleansing, mapping and analysis experience.
• Stakeholder management and workshop facilitation.
• Exposure to data governance frameworks or UAT support is advantageous.
• Fluency in English and Cantonese.
• Degree in CS/IS/Analytics or related discipline.

Responsibilities

• Gather and document business requirements from stakeholders.
• Translate requirements into functional specifications for tech teams.
• Facilitate workshops and interviews.
• Create process maps and gap analyses for improvements based on data insights.
• Collect, cleanse, and analyse large datasets to identify trends and anomalies.
• Develop and maintain dashboards and KPI reports using BI tools.
• Act as liaison between business users and technical teams; present findings clearly.
• Support data quality initiatives and governance processes.
• Assist in UAT and prepare user guides and training materials.

Skills

Stakeholder management

Workshop facilitation

Requirements gathering

Dashboard storytelling

Data analysis

Data cleansing

Data mapping

Education

Bachelor’s in CS/IS/Analytics

Tools

Power BI

Tableau

QlikView

Job description

Randstad Hong Kong Limited invites a hands-on Business/Data Analyst to join our agile delivery team in Hong Kong. You will gather requirements, translate them for technology teams, and create dashboards and reports using BI tools to drive data‑driven decisions across the business.

You will collaborate with analysts, data engineers, and project managers, facilitate workshops, ensure data quality, and support governance processes.