Assistant Manager, Insight, PHCC (2-Year Contract) (9139)

NATIONAL UNIVERSITY HEALTH SYSTEM PTE. LTD.

Singapore

On-site

SGD 60,000 - 90,000

Full time

3 days ago
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Job summary

NATIONAL UNIVERSITY HEALTH SYSTEM PTE. LTD. is seeking an experienced Data Analyst to join the analytics and evaluation team at the NUHS Regional Health System Office in Singapore.

You will lead data analysis projects, develop analytics solutions, and collaborate with stakeholders to drive data-informed decisions that improve healthcare outcomes. The role focuses on developing frameworks, conducting statistical analyses, and delivering reports and dashboards while upholding data governance

Qualifications

  • Bachelor's degree in Data Science, Analytics, Statistics, or related field.
  • 2-4 years of analytics experience.
  • Proficiency in statistical analysis and data visualization tools (R, Python, SQL, Tableau).
  • Demonstrated experience in project coordination and stakeholder management.
  • Excellent communication skills with ability to present complex findings clearly.
  • Strong understanding of data protection and governance principles.
  • Experience in healthcare analytics preferred.
  • Knowledge of Singapore healthcare system is an advantage.

Responsibilities

  • Lead end-to-end data analysis projects and evaluations to deliver high-quality analytics solutions.
  • Support the development of analytics and evaluation frameworks and research methodologies.
  • Conduct statistical analyses to support organizational decision-making.
  • Coordinate with stakeholders to understand business needs and translate them into analytics solutions.
  • Develop and maintain comprehensive reports and dashboards using advanced analytics tools.
  • Ensure adherence to data governance standards and best practices.
  • Collaborate with cross-functional teams to drive data-driven initiatives.
  • Design and implement data pipelines and automated reporting solutions.

Skills

Data analysis
Statistical analysis
Data visualization
Stakeholder management
Communication

Education

Bachelor's degree in Data Science/Analytics/Statistics

Tools

R
Python
SQL
Tableau

Job description

We are looking for an experienced Data Analyst to join our analytics and evaluation team at NUHS Regional Health System Office. In this role, you will lead data analysis projects, develop analytics solutions, and work closely with stakeholders to drive data-informed decision making. This position offers an excellent opportunity to make a meaningful impact in healthcare analytics and evaluation while growing your career.

Key Responsibilities:
  • Lead end-to-end data analysis projects and evaluations to deliver high-quality analytics solutions
  • Support the development of analytics and evaluation frameworks and research methodologies
  • Conduct statistical analyses to support organizational decision-making
  • Coordinate with stakeholders to understand business needs and translate them into analytics solutions
  • Develop and maintain comprehensive reports and dashboards using advanced analytics tools
  • Ensure adherence to data governance standards and best practices
  • Collaborate with cross-functional teams to drive data-driven initiatives
  • Design and implement data pipelines and automated reporting solutions
Requirements:
  • Bachelor's degree in Data Science, Analytics, Statistics, or related field
  • 2-4 years of experience in analytics
  • Strong proficiency in statistical analysis and data visualization tools (R, Python, SQL, Tableau)
  • Demonstrated experience in project coordination and stakeholder management
  • Excellent communication skills with ability to present complex findings clearly
  • Strong understanding of data protection and governance principles
  • Experience in healthcare analytics preferred
  • Knowledge of Singapore healthcare system is an advantage

Join us in leveraging data analytics to improve healthcare delivery and population health outcomes in Singapore.

NUHS is an equal opportunity employer committed to building a diverse and inclusive workforce.

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