Job description

About ACIA

Aon’s Centers for Innovation and Analytics are at the heart of delivering Aon’s Data & Analytic Services team’s mission to:

  • Accelerate the rate of innovation through digital solutions to help better respond to clients’ evolving needs
  • Provide foundational data and analytics capabilities in one place for 50,000 Aon colleagues and our global clients who use our risk and people solutions

Established in 2012, there are over 150 colleagues in Singapore’s Centre today including actuaries, software developers, data scientists, financial analysts and accountants. We are expanding rapidly and looking for dedicated individuals who can leverage emerging technologies and collaborate across Aon’s solution lines to help clients and colleagues make better, data-driven decisions today and tomorrow.


  • Be part of a dynamic team of analysts, data engineers, data scientists and business experts focused on designing and building healthcare data and analytics products
  • Evaluate, design, and implement advanced analytics solutions to address business need
  • Develop and manage statistical, predictive and machine learning models with special attention to its applicability to the end-product
  • Contribute to the design of our data lake and the development of all data assets and downstream warehouses/marts
  • Support in the design, build and maintenance of a scalable data pipeline architecture from ingestion to transformation to storage to consumption across various applications
  • Implement automation wherever possible to streamline the process, minimizing the need for manual intervention
  • Assist in database performance tuning and data lifecycle management
  • Maintain up-to-date technical and operational documentation
  • Work on multiple projects and manage timelines, milestones and delivery efficiently
  • Problem solve complex issues and work to create elegant, simplified solutions


  • BS or MS degree in actuarial science, mathematics, computer science or other related field with strong statistical background
  • 2+ years of experience developing analytical products
  • Strong experience building data pipelines that ingests various types of data sources into a database or data lake and populating a structured warehouse or data mart
  • Knowledgeable in ETL/ELT processes, both design and implementation
  • Applied statistics skills such as distributions, statistical testing, regression, etc.
  • Practical knowledge in SQL, Python, and machine learning
  • Knowledge of best practices to ensure maintainability and efficiency of data-centric projects
  • Open to consider data analysts or data engineers looking to expand their career path into more advanced analytics
  • Quick and eager student of innovative technologies and skills where required
  • Experience in Apache Spark/Databricks is an advantage
  • Experience in BI tools (e.g. Tableau, Power BI) is an advantage
  • Experience working with medical and prescription drug claims data is an advantage

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