
Senior Principal Analyst, Machine learning, Group Finance Analytics
1 week ago
Senior Principal Analyst, Machine Learning, Group Finance Analytics
You will provide technical advisory to the analysts, establishing data analytics support (including development of machine learning models and dashboards) within the SingHealth Group, including clinical and financial analytics initiatives for value-driven care, bundled payments, population health, and the Cost Systemisation (CoSy) initiative, among others. You will lead data analytics projects commissioned by institutions within the SingHealth Group and provide recommendations based on insights and analysis. You will partner with stakeholders and cross-functional teams, especially the Regional Health and Finance offices within the cluster, to achieve desired outcomes. You will also provide necessary training to institutional teams on data analytics tools as required. Other duties include assisting in projects as assigned.
Responsibilities
Lead data analytics projects and provide data-driven recommendations.
Develop machine learning models and dashboards to support clinical and financial analytics initiatives.
Collaborate with cross-functional teams and stakeholders across the SingHealth Group.
Deliver training on data analytics tools to institutional teams as required.
Support Cost Systemisation (CoSy) and other analytics initiatives.
Requirements
Master’s Degree or Bachelor’s Degree in Finance, Statistics, Mathematics, Computer Science/Engineering, Business Analytics or other quantitative disciplines, with at least 5 years of technical experience and 2 years in a supervisory role.
Experience in healthcare or finance is preferred.
Strong understanding of financial/statistical modelling, machine learning, data mining and related techniques.
Technical experience with data wrangling, data preparation and building visualization dashboards with Tableau, Qlik Sense or Power BI.
Experience with algorithms and high coding proficiency with R, Python or SQL.
Knowledge of MATLAB, SPSS, STATA, etc.
Strong analytical and problem-solving skills.
Excellent verbal and written communication and presentation skills.
Ability to work independently as well as in a team in a fast-paced environment.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Finance and Sales
Industries
Hospitals and Health Care
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