SingHealth Polyclinics

Analyst, Healthcare Information (Healthcare Intelligence)

Job Category:  Administration
Posting Date:  09-Mar-2023

The SingHealth Polyclinic’s (SHP) Healthcare Information (HI) team’s Vision takes after that of SHP’s Data Administration Group (DAG), which is “A data-driven approach to better and safer care, with seamless access to data and analysis”. HI consists of 4 sub-teams – Data Management, Healthcare Intelligence, Machine Learning and Data Stakeholder Success.

 

To achieve our Vision, the Executive of HI’s Healthcare Intelligence team will work on projects with strategic intent, delivering the most viable solution to data problems in a timely manner by:

  1. facilitating requirements gathering sessions, digging deep to uncover users’ needs to set up project parameters
  2. brainstorming within or outside the team for viable solutions, then leading, coordinating and iterating through efforts to ensure timely analytics project delivery
  3. turning insights into comprehensible narratives, guiding SHP’s evidence-based decision-making process by:
    1. separating the overly-technical/irrelevant chaff from the wheat when proposing solutions or explaining to the layman
    2. creating aesthetically-pleasing and functional visualisations that leads users to the appropriate narrative

 

You will also assist in managing some general administrative duties.

 

 

Job Requirements:

  • Bachelor’s degree with 1-3 years of relevant experience
  • Experience in data management and analytics work (EDA, profiling, data wrangling, visualisation) with proven and relevant project delivery experience; preferably with experience in the Healthcare industry
  • Experience with platforms/software like Oracle Business Intelligence (OBIEE), Tableau, R/Python; able to quickly wrangle data to the required form for analysis, visualisation and presentations
  • Grounded in data management and analytics methods and processes; to be the subject matter expert within SHP
  • Knowledge of machine-learning techniques (e.g. clustering/regression) and time-series analyses a plus
  • Good interpersonal and communication skills; able to dig enough to uncover users’ needs, work within a cross-matrix team or solo, and create and present comprehensible narratives