Generate analytical insights using administrative data and communicating this to relevant internal and external stakeholders:
Scope out data and informational needs of key stake holders
Propose and refine analytic approach
Produce required report in various formats: long-form, slide deck, infographic
Actively participates in inter-divisional collaboration work to support the development and evaluation of new services and programmes
Provide input to the development of cogent theories of change and logic models that would inform choice of outcome indicators, study design, sample size calculations, and analytic plan
Provide input in data collection methodology
Conduct data analysis to produce findings at the end of evaluation
Produce sections that summarise evaluation methodology, findings, and conclusions to augment programme managers interim and final reports
Collaborate with stakeholders to understand their business needs and deliver data-driven solutions
Conduct routine and ad hoc data analysis to support various work functions and projects
Perform data wrangling, analyse, and interpret complex datasets to answer research and/or operational questions
Support automation, text analytics, and machine learning projects to help enhance productivity
Support the organisation and presentation of descriptive statistics and figures of information pertinent to AIC's work on the Intranet
Job Requirements
Degree in Data Science, Business Analytics, Statistics, Mathematics, or a related field with at least 3 years of relevant experience in providing data support to business units preferably in health or social care settings
Advanced diploma or certificate in data analytics and programming will be added advantage.
Business-oriented and the ability to deliver quality service in a fast-paced working environment.
Proficient in data analysis software such as Python, Stata or R programming;
Experience with data visualisation tools such as Tableau or Power BI will be a plus;
Proficient in the use of Microsoft products such as Word, Excel, PowerPoint, Teams, Sharepoint;
Good knowledge of statistics and quantitative methods;
Able to work well independently and in teamsand complete stretch tasks under tight deadlines;
Able to handle uncertainty and ambiguity;
Attentive to detail and committed to data accuracy;
Good written and oral communication skills; andself-motivated, and able to manage multiple projects efficiently.
Entry level candidates with relevant skillsets are welcome to apply.
