Data Manager

World Health Organization, Geneva, Switzerland

Skill Required:, Media and Communication
Closing Date for Applications: 
2nd December, 2020

Job Description

To support high-burden countries to ensure evidence-based policies and strategies are in place to achieve universal access to high quality health services for MNCAHA, and increase coverage and quality of effective MNCAHA interventions among pregnant women, newborns, children, adolescents and the elderly, and to create mechanisms to measure the impact of those strategies and to contribute to the outcomes of the 13th WHO General Programmeof Work.


  •  Analyse epidemiological data to monitor and evaluate progress in MNCAHA.
  •  Collaborate with Regional and country offices to facilitate the use of such data for programme implementation and decision making of the programmes in countries.
  •  Maintain up to date the Global Health Observatory and MNCAHA data portal in the areas of global neonatal, child and adolescent mortality estimates and ageing data in collaboration with IER/WHO.
  •  Establish a data management system for periodic surveys in MNCAHA carried out by the team and provide technical support in quality assurance, data analysis and generation of evidence.
  •  Support development and implementation of analytical methods/tools and metrics to facilitate health events monitoring and evaluation.
  •  Participate in capacity building activities to strengthen accountability in the field of MNCAHA and in preparation of technical documents and reports related to epidemiology, monitoring and evaluation.
  •  Main achievements include: Updated MNCAHA databases; Contributed to updating of Global Health Observatory; and improved quality of data.



  • Essential: A first university degree in Information Sciences, Health Sciences, Demography, Mathematics or Statistics.
  • Desirable: An advanced degree (Masters level or above)in one of the above-noted areas would be an asset.


  • Essential: At least five years of professional experience in data analysis, data management and in statistical analysis including in the area of health. Relevant experience at international level
  • Desirable: International experience in statistical modelling and public health.


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