Assistant Manager/Senior Executive, Data Analytics
6 days ago
Job description:
- 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 teams and 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; and self-motivated, and able to manage multiple projects efficiently.
- Entry level candidates with relevant skillsets are welcome to apply.
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