Senior Data Analyst

5 days ago

Singapore NodeFlair Full time

**Job Summary**:
**Salary**
S$6,000 - S$9,000 / Monthly

**Job Type**

**Seniority**

Senior

**Years of Experience**
At least 8 years

**Tech Stacks**
play Analytics R Sas Python

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.

**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.

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