Categories : Healthcare, Statistics
Overview of Physical Activity and Weight Management Division
We want Singaporeans to stay active and incorporate physical activity as an integral part of Singaporeans' lives. HPB aims to achieve this through education and marketing strategies for Singaporeans to be aware of the numerous health benefits from being physically active.
Data Analyst, Physical Activity and Weight Management Division (one-year contract)
Reporting Officer / Contact Officer : DD, PAWM
As Data Analyst, Physical Activity & Weight Management (PAWM), you are expected to :
Work with team to understand business needs and deliver insights to relevant decision makers meet business indicators and develop dashboard & reports using data mining, analysis and visualisation tools
Identify trends and opportunities for business users within PAWM through analysis of complex data sets for both National Steps Challenge & structure physical activity programs through H365 Data.
Proactively analyse data to address concerns from stakeholders or out of self-initiated curiosity to drive business performance, investigate & communicate in areas to improve optimisation of programs operations, trends of various programs.
Evaluate internal system for efficiency, problems, inaccuracies and develop effective data management protocols (administration, documentation and archival) within the Division to ensure accuracy & integrity of data-sets
Qualifications in data analytics, statistics, public health, epidemiology or related field, or candidates with other disciplines with relevant experience
Have worked with large data sets including statistical analysis, data visualisation or data mining.
Proficient in the use of data visualisation tools (e.g. Tableau, Microsoft Power BI), MS Excel (advanced), SPSS, STATS or equivalent analytics tools;
and sage of ETL / programming software or scripting language (E.g. Python, R, SQL, MS SQL server, SAS etc)
Previous experience in exercise / fitness, business development and customer service support processes across multiple stakeholders will be preferred
Minimum 3 years of working experience in technology, data handling, data science or analytics, preferably in healthcare domain
Good project management and communication skills