Associate Director, Health Analytics

Hays Hong Kong
Full time Permanent On-site Competitive

About the job

Your new company

Your new company is a leading international life and health insurer with a strong presence globally. As part of its continued investment in data, customer experience, and healthcare innovation, the company is seeking an Associate Director focusing on Proposition & Health Analytics to drive strategic initiatives that enhance customer value, improve business performance, and support sustainable portfolio growth.

Your new role
  • Lead complex analytics projects across healthcare, claims, customer, product, and proposition functions.
  • Deliver actionable insights to support commercial growth, customer engagement, and portfolio sustainability.
  • Apply advanced analytics, predictive modelling, machine learning, and AI techniques to solve critical business challenges.
  • Evaluate healthcare and proposition initiatives, providing recommendations to optimise performance and customer outcomes.
  • Design and enhance dashboards, reporting frameworks, and KPI monitoring solutions.
  • Partner with senior stakeholders across business, operations, technology, and analytics teams.
  • Drive data-driven decision-making by translating analytical findings into practical business actions.
  • Champion analytics best practices, data governance standards, and innovation within the organisation.
  • Provide thought leadership and mentorship on analytics methodologies and emerging technologies.
What you'll need to succeed
  • Bachelor's degree in Statistics, Mathematics, Actuarial Science, Data Science, Computer Science, Economics, Finance, Healthcare, or a related discipline.
  • 8+ years of experience in analytics, data science, business intelligence, or advanced analytics roles.
  • Strong experience within insurance, healthcare, financial services, or other highly regulated industries.
  • Demonstrated expertise in healthcare analytics, claims analytics, customer analytics, and business performance measurement.
  • Proven hands-on experience with predictive modelling, machine learning, AI, and advanced analytical techniques.
  • Strong technical proficiency in Python, SQL, SAS, R, Tableau, Power BI, or similar tools.
  • Track record of translating analytical insights into business actions and measurable outcomes.
  • Excellent stakeholder management and influencing skills, including engagement with senior leadership teams.
  • Strong presentation and communication skills with the ability to explain complex analytical concepts to non-technical audiences.
  • Experience within Life & Health Insurance will be highly regarded.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

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