Healthcare Data Analyst — Population Health Analytics & Dashboards

Recruit Express Pte Ltd; Singapore; On-site; SGD 42,000 - 50,000; Part time

Job summary

Recruit Express Pte Ltd in Singapore is seeking a Data Analyst to support healthcare analytics initiatives. You will perform end-to-end data analysis, build dashboards, and contribute to population health evaluation.

This 2-year contract offers exposure to Python, SQL, R and Tableau, with training provided. You will interact with stakeholders to translate data into actionable insights and help ensure data governance and quality across projects.

Qualifications

• MIN Degree in Data Science, Data Analytics, Statistics or related discipline.
• Strong hands-on skills in Python, R, SQL and Tableau.

Responsibilities

• Perform end-to-end data analysis and support evaluation projects.
• Conduct statistical analysis to generate actionable insights for business and healthcare decision-making.
• Develop and maintain reports, dashboards and data visualisations.
• Work with stakeholders to understand business needs and translate them into analytics solutions.
• Support the development of analytics frameworks, evaluation methodologies and research approaches.
• Design and maintain data pipelines and automated reporting solutions.
• Collaborate with cross-functional teams on data-driven initiatives.
• Ensure compliance with data governance and data protection requirements.
• Present analytical findings clearly to both technical and non-technical stakeholders.

Skills

Data Analytics

Python

SQL

R

Tableau

Education

Bachelor's degree in Data Science / Data Analytics / Statistics or related discipline

Tools

Tableau

Job description

Recruit Express Pte Ltd in Singapore is seeking a Data Analyst to support healthcare analytics initiatives. You will perform end-to-end data analysis, build dashboards, and contribute to population health evaluation.

This 2-year contract offers exposure to Python, SQL, R and Tableau, with training provided. You will interact with stakeholders to translate data into actionable insights and help ensure data governance and quality across projects.