Data analyst
Summary
Data analyst at an investment/capital firm in Hong Kong (Cyberport). Day to day: build data-analysis and predictive-modelling frameworks, design BI/KPI dashboards for online and offline channels, track campaign performance and user conversion, and turn market and competitive research into recommendations for management.
Responsibilities:
Develop and enhance data analysis frameworks; apply predictive modelling and trend analysis to support business growth and strategic decision-making
Build online and offline channel data systems; design budget, workflow, and KPI dashboards to enable data-driven management
Track brand campaign performance, user conversion, and market impact; translate insights into actionable optimisation recommendations
Conduct competitive product analysis and market research; deliver clear, actionable insights to business and management stakeholders
Develop reporting, performance tracking, and decision-support systems to improve operational efficiency and reduce costs
Take up ad-hoc projects to as according to IT strategy
Requirements:
Bachelor’s degree or above in Statistics, Mathematics, Finance, Engineering, Computer Science, or a related discipline
At least 3 years of data analysis experience; background in finance, fintech, investment, or internet finance preferred
Strong hands-on experience in data modelling, business intelligence (BI), KPI dashboards, and statistical/predictive analysis
Able to independently manage the full analytics workflow: data collection, cleaning, modelling, and insight delivery
Strong business acumen and cross-team communication skills; able to turn complex data into clear recommendations
Good command of English and Chinese (Cantonese/Mandarin)