Analyst (Data Science), Strategy Management and Analytics (OPP) The Strategy Management & Analytics team is the custodian of SGH’s corporate strategy management and business intelligence to enhance enterprise performance and accountability through evidence-based decision making and working with stakeholders across the organization to set realistic targets that help align staff to SGH’s goals. Other focus areas of SMA include driving data democratization to empower various stakeholders with data to make data-driven decisions, partner divisions and departments in building self-service data analytics capability and cultivate a data savvy community in SGH. You will support the department’s key data analytics function, particularly in areas of strategic and operational importance. You will collaborate with stakeholders to understand business problems, scope analytics approach to support data-driven solution You will generate workload trends, perform relational trending / causal inference modelling, forecasting based on historical information and visualise in dashboards to share meaningful insights to leadership and stakeholders or for stakeholders’ business reporting You will work with stakeholders to map business requirements with clear data logics to establish proper and robust data pipelines, code and automate complex data wrangling for dashboard visualization and setup access to ensure seamless workflow You will assist in extraction of data sets, or work with enterprise data warehouse team to execute data platform projects Requirements Degree in Mathematics, Statistics, Information Technology, Business Analytics or Data Science is preferred 2 years relevant experience in a healthcare environment will be an advantage Strong analytical, written, communication and presentation skills to articulate data insights clearly for audience to follow Conversant in one of the following programming language – R, Python Conversant in Tableau or other data visualization tools Ability to perform under tight deadlines Knowledge/ skills in data mining and/or operations research, either present or in the process of gaining such knowledge and skills would be an added advantage #J-18808-Ljbffr