Home > Recruitment > Data Analyst / FP&A
Type: Permanent and full-time position
Sector: insurance

Our client is an international insurance services group operating in 31 countries.

They are currently looking for their Data Analyst and FP&A to primarily cover the needs of APAC region and potentially the international health business line worldwide.


- Financial reporting

  • Create quarterly reporting in line with group requirements for the Asia Pacific companies.
    • At first the reporting will be built in Excel.
    • As we roll out SAP regionally, this should then be implemented in SAP (liaising with external consultant)
    • This will require close cooperation with accounting department
  • Create a monthly P&L review against budget

- Data/ Business analysis

  • Create dashboards for claims and sales for APAC region under Qlicksense
    • Gather end user needs
    • Design requirement and identify data source
    • Work with consultant to create dashboards and do the testing
  • Once created follow up and provide analysis
  • Create a consolidated Dashboard for the International health business line


  • 3-5 years of prior experience in FP&A and/or data analytics
  • A self-starter, autonomous with analytical astuteness, able to work with tight deadlines
  • Ability to work with large amount of data
  • Excellent analytical skills. Great attention to details while being able to get the “big picture”. Ability to provide recommendations based on analytical findings
  • Self-starter/autonomous/proactive
  • Used to work in multicultural environment and in small medium size companies.
  • Team player who can work in a cross-functional environment=>excellent interpersonal skills with a good drive.
  • Strong Microsoft Excel & PowerPoint skills, SQL knowledge would be advantageous
  • Knowledge of SAP as well as Qlicksense or other visualization software is a plus
  • Excellent communications and presentation skills: written, verbal, and presentation in English. French is a plus
  • Ability to provide recommendations based on analytical findings


  • Looking for analytical experience within a growing global organization
  • Love start up mode
  • Love data and deep dive exploratory analysis
  • Enjoy various internal interactions and bridging gaps
  • Take satisfaction from seeing your recommendations implemented