We are seeking an experienced and skilled Senior 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.
Requirements:
- 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.
Please click "Apply Now" should you be interested to proceed with the job application.
Morgan McKinley Pte Ltd
EA Licence No: 11C5502
Registration No: R22109486
EAP Name: YU CIET XIA
