Data Analyst (Population Health Analytics)

SYNAPXE PTE. LTD.; Singapore; On-site; SGD 40,000 - 70,000; Full time

Job summary

A leading company is seeking a skilled Data Analyst to analyze public health data and provide insights for health policy planning. The role involves collaborating with teams to enhance health interventions using data analytics. Ideal candidates will have experience in the public health domain and be proficient in statistical software.

Qualifications

• Extensive knowledge in Statistics, Data Analytics, Data Science, or Health Economics.
• Experience in public health or epidemiology research preferred.
• Strong analytical and problem-solving skills.

Responsibilities

• Utilise statistical methods to analyze health datasets.
• Communicate findings to stakeholders for actionable insights.
• Collaborate with interdisciplinary teams.

Skills

Statistics

Data Analytics

Data Science

Health Economics

Analytical Skills

Problem-solving

Communication Skills

Interpersonal Skills

Education

Degree in Statistics, Data Analytics or related field

Tools

R

Python

SAS

Stata

Tableau

Job description

We are seeking an experienced and skilled Data Analyst to join our dynamic team. You will play a crucial role in analysing and interpreting health data, providing actionable insights to support health policy planning.

Responsibilities:

· Utilise statistical methods and analytics tools to analyse datasets related to public health, including health surveys, healthcare utilisation data, and epidemiological studies.

· Interpret and communicate findings to stakeholders, translating complex data into actionable data-driven insights for program and health policy planning, and public health interventions.

· Monitor databases to ensure the timeliness and accuracy of data.

· Work closely with cross-functional teams to foster creative problem-solving and address complex data analytics issues.

· Collaborate with interdisciplinary teams from both local and global health organisations and research institutions to conduct research studies.

Qualifications:

· Possess extensive knowledge and experience in Statistics, Data Analytics, Data Science, Health Economics or disciplines with substantial quantitative content (e.g. regression, analytics, modelling).

· Work experience in public health, health statistics or epidemiology research environment is preferred.

· Proficient in statistical software (e.g., R, Python, SAS, Stata). Experience with data visualisation tools (e.g., Tableau) will be an added advantage.

· Experience in publishing relevant publications in peer-reviewed journals will be advantageous.

· Possess strong analytical and problem-solving skills. Highly driven with the ability to work in a fast-paced environment.

· Self-motivated and resourceful, takes initiative in one’s work.

Effective communication skills, and good interpersonal skills with the ability to work cross functionally.