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Head, Applied Statistics and Economic Modeling Department (ASEMD)

HASEMD, 01

Location: Enugu, Enugu State, Nigeria.


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i. CANDIDATE REQUIREMENT:

The position requires a high-flying, results-driven statistician/economist with cutting edge competencies in statistics, statistical computing, economics, econometrics and well acquainted with macroeconomic statistics. The prospective candidate should possess strong analytical skills and be familiar with Big Data analytics and be able to use a suite of statistical software packages. Candidates should have strong communication skills and be able to provide leadership role for the Department as well as nurture it to an enviable height, among others. The successful candidate would report directly to the Chief Executive Officer (CEO).

ii. JOB RESPONSIBILITIES: 

  • Advise the CEO on Statistics, Economic Modeling, Statistical Computing and Data Management issues.
  • Ensure timely compilation, analysis, and dissemination of statistics produced at the centre
  • Supervise the conduct of quantitative and qualitative surveys, including Opinion Polls
  • Guide statistical computing and data management processes within the centre
  • Organise trainings on statistical methodologies and modeling procedures, as well as the compilation of statistics related to the four major macroeconomic accounts
  • Organise trainings on the suite of Microsoft Office packages, CSPro, SPSS, STATA, EViews, GAMS, GIS, R, Python, etc
  • Guide Statistical Research and engage in active Statistical Advocacy and the running of the Statistics Clinic
  • Ensure that all the research publications of the Centre are published in a timely manner
  • Act as liaison between CASEM and its stakeholders
  • Provide administrative leadership to the Department in terms of coordinating and supervising all its activities.
  • Develop clear performance measures for all job processes as well as targets for all grades of staff within the Department.

iii. QUALIFICATION AND EXPERIENCE:

  • A Masters Degree in Statistics/ Computer Science or Economics with proven ability for rigorous quantitative analysis. Possession of a PhD would be an advantage.
  • A first degree in Statistics/Computer Science with 10 years cognate experience in statistics/ economics and a strong interest in Big Data analytics.
  • Outstanding publication record in statistics/ Computer Science or Economics in peer reviewed and reputed journals would be an advantage.
  • Membership of a relevant professional body and/or Association would be an advantage.

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