The common responsibilities for this position include conducting analyses for the Hong Kong residential property market, compiling timely reports, maintaining and enriching in-house databases, managing and compiling data from various sources, collaborating with government departments for statistics, validating data accuracy, supporting data processing projects, enhancing data automation, analyzing arrival patterns and visitor profiling, working on dashboard and database enhancements, monitoring market intelligence, collaborating with teammates for data analysis, and contributing to integrated insights. Additional duties involve managing reinsurance settlement accuracy, validating premium and claims data quality, automating data processing, communicating with client insurers and brokers, facilitating settlement approval, consolidating validation records, empowering data-driven decisions, performing data cleansing and transformation, designing data mart solutions, and collaborating with pricing teams. Responsibilities also include designing data acquisition flows, providing insights for business growth, supporting algorithm/AI development, training users on data usage, collaborating with stakeholders for data analysis projects, and presenting findings.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
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Academic degree required as indicated by all job postings
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