Job Description

• Oversee the business analytics and program evaluation work of the Strategy, Research and Data Division. * Supervise regular and ad-hoc data reporting (e.g. dashboards) to support the work of ot Oversee the business analytics and program evaluation work of the Strategy, Research and Data Division. Supervise regular and ad-hoc data reporting (e.g. dashboards) to support the work of other AIC divisions. Oversee and/or perform statistical analyses of large scale quantitative studies, including modelling and simulation studies, and studies using Geographical Information Systems (GIS) to help AIC management predict demand for AIC and Community Care services, and the future burden of disease/disabilities of interest to AIC. Provide guidance on research and statistical methods to the division and AIC staff to support the design of quantitative studies and/ or performance of quantitative analyses. Conduct talks and workshops to improve understanding of statistics among AIC staff and Community Care sector partners. Build up and guide the team to support taking on a higher volume of quantitative program evaluation work from MOH PRED, particularly for the evaluation of AIC programmes. The addition of this experienced managerial level analyst is anticipated to increase the rate of output by developing the expertise within the team and help AD(Research) oversee the team's work. Build up and guide the team in statistical modeling using administrative and secondary survey datasets from various sources to answer policy and strategic questions. Support additional analytic work related to the projects such as Eldercare Centre Review, Communities of Care project, and One Rehab that may arise. Job Requirements: A relevant degree at the Master's level is needed, preferably with higher level degree qualifications (PhD) in relevant fields such as statistics, econometrics, biostatistics, or epidemiology. [Senior Manager] Minimum 5 years of working experience preferably in healthcare or social sectors with at least 3 years of supervisory management experience. Extensive experience in conducting statistical or econometric analyses, and performing modelling and simulation studies, preferably with publications in peer-reviewed academic journals. Familiarity with at least one statistical software package (e.g. Stata, R, SPSS, or SAS). Experience with business intelligence tools (e.g. Oracle OBIEE, Qlikview, Tableauetc) will be a plus. Experience with budget impact analysis and/ or cost effectiveness analysis will be a plus. Excellent written and oral communication skills. Able to work independently and in teams. Flexible, self-motivating, and able to manage multiple tasks efficiently. Proficient in a Microsoft Windows environment.