Senior Data Analytics & Health Insights Translator

Public Service Division

Singapore

On-site

SGD 84,000 - 120,000

Full time

14 days+

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Job summary

Health Promotion Board (HPB) is looking for a dynamic data analytics professional to join the Research, Evaluation and Monitoring (REM) division. You will contribute to high-impact projects, generating insights from longitudinal data, sensors, and combined datasets using statistical and machine learning methods.

You will help develop predictive models, behavioural experiments, and outcomes-focused evaluations to guide programme design and policy decisions.

Qualifications

  • Degree in statistics, data analytics, social sciences, life sciences, public health, or any related quantitative discipline
  • At least 2–6 years of practical experience working with data as an analyst or in a related role
  • Experience in applying statistical techniques and/or machine learning methods to real-world datasets
  • Proficiency in at least one programming language (R, Python). Familiarity with Databricks, SparkR, PySpark or working with large datasets will be advantageous
  • Additional familiarity with statistical software (SPSS, STATA) will be a bonus
  • Familiarity with programme evaluation methods or quasi-experimental study designs will be advantageous
  • Strong communication skills, especially in communicating technical findings to a non-technical audience
  • Strong project management skills and ability to manage multiple priorities in a fast-paced environment

Responsibilities

  • Work in a cross-functional, matrix team on high-impact analytics projects
  • Generate actionable insights through advanced analytics on diverse datasets
  • Support development and application of predictive models and segmentation approaches
  • Set up and support behavioural experiments and programme evaluations
  • Develop data-driven narratives for stakeholders to inform decisions
  • Collaborate with cross-functional teams and external partners on analytics projects
  • Support development of data pipelines and feature engineering for scalable analytics

Skills

Statistical techniques
Machine learning
Programming: R
Programming: Python
Databricks
SPSS
STATA
Data storytelling
Project management
Communication

Education

Degree in statistics, data analytics, social sciences, life sciences, public health, or related quantitative discipline

Tools

R
Python
Databricks
Spark (SparkR/PySpark)
SPSS
STATA

Job description

Health Promotion Board (HPB) is looking for a dynamic data analytics professional to join the Research, Evaluation and Monitoring (REM) division. You will contribute to high-impact projects, generating insights from longitudinal data, sensors, and combined datasets using statistical and machine learning methods.

You will help develop predictive models, behavioural experiments, and outcomes-focused evaluations to guide programme design and policy decisions.

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