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Healthcare Analytics, Principal

Salary undisclosed

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We are looking for ...

An exceptional and experienced professional to manage AIA Health Services portfolio to support healthcare management and provider management actively for business growth and sustainability by creating business insights through data analytics (internal and external data).

Job Responsibilities:

  • Collect and analyze statistical, financial and competitive information to support pricing and risk recommendation associated with medical health portfolio.
  • Collaborate with Business Users to understand the requirement, design and develop statistical analysis and algorithms to support business scenarios.
  • Work on ad-hoc analysis, identify discrepancies and patterns, translate technical information and findings into easy to understand terms for the business.
  • Support and enhance infrastructure of data warehouse in continuously strengthening capabilities for analytics.
  • Create executive Power BI dashboards, scorecards and reports for tracking on Management KPIs with business insights and actionable items for senior management team.
  • Conduct deep-dive analytics based on business priorities and identify improvement opportunities and able to prepare and present findings to senior management in a logical, concise, and articulate manner.
  • Stay abreast of industry trends, emerging technologies, and best practices in business intelligence and analytics.
  • Lead ad-hoc cross-functional data analytics project, as and when required.

Job Requirements:

  • Degree graduate (or above) in numerate discipline, e.g., Actuarial Science, Economics, Data Science, Mathematics, Statistic, or Computer Science.
  • A least 8-10 years of related working experience in healthcare analytic roles or relevant fields.
  • Have exposure in data analytics project lifecycle, e.g., data requirement, extraction, exploration, transformation, development, implementation, insights.
  • Proficient in SQL programming or other database query tools and strong capability with dashboard tools including Power BI and Tableau.
  • Strong knowledge of data models, mining, segmentation, machine learning techniques and algorithms will be an advantage.
  • Excellent communication and presentation skill with the ability to articulating findings insights to stakeholders and senior management.
  • Adaptive to change and flexible in an evolving, fast-paced, and high-pressure working environment.
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