Job ref no.: 3992825/001_1526875853
Page Personnel

Data Analyst - Insurance background preferred!

Page Personnel

  • 5-day week

Our client is looking for a Data analyst to obtain, assemble and help others interpret and understand their client's data.

Client Details

Our client is Leading UK Consultancy firm. They provide a one-stop-shop service to their clients across Management consultancy, HR consultancy, Medical and Insurance benefits.


  • Use statistical formulas to compute and also analyze data
  • Verify the accuracy, completeness, and reliability of data
  • Compile statistics using sources such as records, reports, and surveys
  • Enter data and other information into computers
  • Interview participants on studies or surveys and track or record their responses
  • Assemble or prepare charts, graphs, tables and other depictions of data, surveys, and findings
  • Organize data, survey forms and supporting or source materials
  • Search for and identify new sources and method of data collection
  • Obtain requirements of customers for data collection

  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Insurance background will be desired

Job Offer

  • Competitive remuneration package
  • Internal opportunities is very much valued in this firm
  • Shiftwork and OT Allowance
  • MPF
  • Other benefits such as medical and life insurance

To apply online please click the Apply button below. For a confidential discussion about this role please contact Elaine Fung on +852 3602 2492

More job information
Job ref no. 3992825/001_1526875853 (CT3115664-01#0406)
Job Function
  • Central
Employment Term
  • Permanent
  • Full-time
  • 0 year
Career Level
  • Entry level
  • Degree