Senior Data Management Analyst - Reinsurance - Up to 36k

Job level Middle
Work exp Minimum 3 Years
Education Bachelor Degree
Location
Within Hong Kong
Employment type Full Time
Industry Insurance / Pension Funding (MPF)
Job function Digital / Web / Mobile > Web Analytics
Published On 22/08/2019
ref. 4090922/001_36836

Our client is looking for a candidate who is strong in Python, SQL and Excel to their Business Process team to work closely with BAU team by providing efficient solutions to process high volume client data. They are looking for candidate who is detail minded and well-organised to support the implementation.

客户简介

Our client is a western based holding company for a global life and health reinsurance entity. They have a strong presence in globally and grown to become the largest international company to focus primarily on life and health-related reinsurance.

工作内容

  • Manage high volume of client data with internal administration system and claims database
  • Maintain client data and perform data validation
  • Conduct user requirements collection and analysis
  • Prepare test case and conduct BAT testing
  • Develop and design the internal process and system infrastructure to enhance efficiency in handling high volume of data and statistics
  • Ensure that data is accurate for experience study, accounting records, valuation systems, regulatory returns etc.
  • Usage of Python and SQL to enhance and smoothen the current workflow of the data handling process

理想的求职者

  • University degree holder in Business Administration, Computer Science, Information Technology, or other related disciplines
  • Solid work experience in SQL and Python
  • Proficient in Excel, Power Query, Power Pivot, Macro, VBA
  • Self-starter, driven in pursuit of targets
  • Attention to details and excellent organizational skills
  • Ability to cope with competing demands and to prioritize tasks

福利待遇

Leading Reinsurance Firm

Flexible Working Hours

Competitive Salary Package

Attractive Fringe Benefit (Dental/Medical for Spouse)

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Andy Lam on +852 3602 2414.