Associate Principal/Senior/Analyst, Data Science, Group Finance Analytics (Contract)

SingHealth

Singapore

On-site

SGD 60,000 - 90,000

Full time

12 hours ago
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Job summary

SingHealth seeks a Senior Analyst to champion the development of new data science techniques and deliver analytics projects from planning through prototyping, testing, implementation and publication.

You will identify and develop core data science components for the delivery of projects, construct dedicated databases and computing environments, and explore and visualise complex data sets to provide business insights.

Qualifications

  • Bachelor’s Degree in Finance, Statistics, Mathematics, CS/Engineering, Business Analytics or other quantitative disciplines with preferably 2 to 5 years of relevant experience.
  • Advanced theoretical understanding of statistical modelling, machine learning, developing simulation models.
  • Experience with algorithms and coding proficiency with tools such as R, Python, SQL.
  • Good understanding of MATLAB, SPSS, and STATA.
  • Meticulous and possesses strong analytical and problem-solving skills.
  • Excellent verbal and written communication skills.
  • A team player who is also able to work independently in a fast-paced environment.

Responsibilities

  • Champion development of data science techniques from planning through prototyping, testing, implementation and publication.
  • Identify and develop core data science components for project delivery.
  • Construct dedicated databases and computing environments; explore and visualise complex data sets to provide business insights.
  • Collaborate with researchers and cross-functional teams, including finance, clinical quality and operations.
  • Mentor lower-level team members and influence stakeholders for data-driven breakthroughs (Senior Analyst).

Skills

Statistical modelling
Machine learning
Simulation models

Education

Bachelor’s Degree in Finance
Bachelor’s Degree in Statistics
Bachelor’s Degree in Mathematics
Bachelor’s Degree in Computer Science/Engineering
Bachelor’s Degree in Business Analytics

Tools

R
Python
SQL
MATLAB
SPSS
STATA

Job description

You will champion the development of new data science techniques, methodologies and delivery of analytics projects from planning through to prototyping, testing, implementation and publication. You will identify and develop core data science components for the delivery of projects, construct dedicated databases and computing environments, and explore and visualise complex data sets to provide business insights. As a key member of the Value Driven Analytics Research (VADAR) initiative, you will provide technical expertise to researchers’ data needs, and/or RFPs and related commercial activities. Your duties include working on data analytics projects that are commissioned by institutions within SingHealth and provide recommendations based on the clinical, operational and financial analysis performed. You will collaborate with various stakeholders and cross-functional teams, especially the value/bundle care, population health, clinical quality and finance offices within the cluster.
For the Senior Analyst position, you will also guide and mentor lower-level team members and are expected to influence key stakeholders, spearheading a data-driven approach to contribute to research breakthroughs.

Requirements

Other responsibilities include projects as and when assigned.

  • Bachelor’s Degree in Finance, Statistics, Mathematics, Computer Science/ Engineering, Business Analytics or other quantitative disciplines with preferably 2 to 5 years of relevant experience
  • Advanced theoretical understanding of statistical modelling, machine learning, developing simulation models
  • Experience with algorithms and coding proficiency with tools such as R/ Python/ SQL
  • Good understanding of MATLAB, SPSS, and STATA
  • Meticulous and possesses strong analytical and problem-solving skills
  • Excellent verbal and written communication skills
  • A team player who is also able to work independently in a fast-paced environment
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