Apply for Vacancy for Data Analyst at Johns Hopkins University in the USA. The deadline for this job is 31st August 2021.
The World Health Organization, Gavi and UNICEF have placed equity at the forefront of their immunization agendas, with “zero-dose” children – those who have not had a single contact with the health system resulting in immunization – as a key priority. Also, these children and their communities are not only potential epicenters for disease outbreaks, they are also often deprived of other basic services and suffer from entrenched inequalities. Global immunization partners have set a goal to reduce the number of zero-dose children by 25% by 2025 and by 50% by 2030. As part of MCGL, IVAC will contribute to these efforts by expanding the evidence base, helping to define where zero-dose children reside, who they are, and why they are missed by routine immunization and primary healthcare systems. Ultimately, these findings will contribute to more effective and efficient programs and strategies.
- Manage datasets from Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), as well as other data sources related to maternal and child health and health systems.
- Also, design and execute statistical analyses to address research questions related to zero-dose children and communities.
- Develop reports and presentations for internal and external stakeholders, including USAID.
- Likewise, contribute intellectually to the conceptualization of new research activities.
- Contribute to project timelines and project management activities.
- Remain abreast of the latest research around zero-dose children and communities.
- Furthermore, perform miscellaneous related duties as assigned.
Minimum Qualifications (Mandatory):
The incumbent must meet the following for Vacancy for Data Analyst in the USA:
- Bachelor’s degree in related discipline.
- Also, 3 years related experience.
- Additional education (Master’s level) may substitute for required experience, to the extent permitted by the JHU equivalency formula.
- Proficiency with Stata, SAS, or R programming.
- Proficiency with statistical techniques (chi square, bivariate regression, multivariate regression, appropriate weighting of samples etc.)
- Experience analyzing large-scale household survey data (e.g., DHS, MICS).
- Furthermore, post-graduate degree in public health, epidemiology, biostatistics or a related field.
- Experience in data management techniques, including cleaning data and merging and sub-setting datasets.
- Experience with data analysis, statistical programming (Stata, SAS, R), data management.
- Additionally, experience with Geographic Information Systems (GIS).
Special Knowledge, Skills & Abilities:
- Knowledge of public health or international development, particularly immunization.
- Also, excellent organizational skills and attention to detail.
- Excellent written and oral communication skills.
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