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Senior Assistant Director/ Assistant Director, Data Analytics

Job Description

 

  • Advanced quantitative analytics and modelling, and programme evaluation work. Ensure that the findings made and insights drawn are based on sound, rigorous, and defensible methods so as to best inform policy and operations planning at AIC.
  • Business intelligence and data operation initiatives
    • Ensure the delivery of high-quality end to end analytics solution such as deep-dive data analysis, and timely provision of accurate information to AIC colleagues and external stakeholders
    • Supervise data analytic projects that promote the adoption of a data-driven approach for service and operation planning, policy review, and collaboration with community partners
  • Inform planning and operational decision-making in the following ways:

Programme evaluations

    • Guide and facilitate 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.
    • Produce or supervise the production of write-up that summarises evaluation methodology, findings, and conclusions to augment programme managers’ interim and final reports.

Business intelligence

    • Develop and supervise the development of regular and ad-hoc data products, including, but not limited to, dataset extraction, dashboard creation, interactive geospatial map creation, infographics, and analyses based on machine learning methods.
  • Supervise the computation of relevant descriptive statistics, correlations, projections, and other insights to challenge assumptions, and confirm hypothetical relationships that are the basis of proposed programmes and other initiatives.
  • Serve as consultant and advisor to other AIC divisions where programme evaluation has been outsourced to a third party

Job Requirements

  • Degree in Data Science, Business Analytics, Statistics, Mathematics, or a related field with at least 10 years of relevant experience in providing data support to business units preferably in health or social care settings and 4 years of supervisory management experience.
  • 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;
  • Proficient in data visualisation tools such as Tableau or Power BI.
  • Good knowledge of statistics and quantitative methods;
  • Able to perform and complete stretch tasks under tight deadlines;
  • Self-motivated, takes initiative, and able to manage multiple projects efficiently;
  • Able to handle uncertainty and ambiguity and conduct analysis bearing in mind business objectives;
  • Attentive to detail and committed to data accuracy;
  • Flexible, self-motivated, and able to manage multiple projects efficiently.

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