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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.
Our client is a highly respected, forward‑thinking organisation in Hong Kong known for its commitment to innovation and data‑driven excellence. They invest heavily in modern business intelligence technologies and foster a workplace culture that empowers professionals to deliver high‑impact solutions across the region.
You will join a collaborative and agile project delivery team comprising seasoned business analysts, data engineers, and project managers. The team environment is dynamic, supportive, and focused on open communication, offering excellent opportunities to cross‑train across business analysis and advanced data analytics disciplines.
Gather, analyse, and document clear business requirements from key corporate stakeholders. Translate complex business needs into functional and technical specifications for the technology teams. Facilitate structured workshops, interviews, and requirement‑gathering sessions. Create detailed process maps, business workflows, and gap analyses to recommend process improvements based on data insights. Collect, cleanse, and analyse large datasets from multiple sources to identify trends, patterns, and anomalies. Develop and maintain interactive dashboards, corporate reports, and key performance indicators (KPIs) using modern BI tools. Act as a key liaison between business users and technical teams, presenting analytical findings in a clear, business‑friendly manner. Support data quality initiatives, monitor data integrity, and assist in defining corporate data standards and governance processes. Participate in data transformation projects, assist in user acceptance testing (UAT), and prepare comprehensive user guides and training materials.