UNICEF has been working on the ground in 190 countries and territories to promote children’s survival, protection and development. The world’s largest provider of vaccines for developing countries, UNICEF supports child health and nutrition, good water and sanitation, quality basic education for all boys and girls, and the protection of children from violence, exploitation, and AIDS.
UNICEF is funded entirely by the voluntary contributions of individuals, businesses, foundations and governments. UNICEF has over 12,000 staff in more than 145 countries.
UNICEF has a zero-tolerance policy on conduct that is incompatible with the aims and objectives of the United Nations and UNICEF, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination.
UNICEF also adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo rigorous reference and background checks. Background checks will include the verification of academic credential(s) and employment history. Selected candidates may be required to provide additional information to conduct a background check.
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The Consultant will perform the following tasks:
- Working with countries to acquire, clean and prepare education administrative sources for analysis
- Work with Technical Working Group to acquire administrative data
- Design and Documentation:
• Work with colleagues to build on the update data prep script to clean data (merging data, resolving merge issues, cleaning category variables, calculating aggregations - Workflow Development:
• Create a workflow to clean and prepare EMIS data, link EMIS data to household survey data
• Validate the generated output and iterate based on feedback - Reproducibility:
• Ensure that the code is well-annotated and published on a GitHub repository for future reproducibility and scalability
- Produce analysis using administrative and household data (6 countries):
- Analyse and explore econometric methods to analyse the linked data to respond to country needs
- analysis using R and produce a country factsheet with findings
- Validate the estimates
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Also Read: UN Careers, Internship Opportunities
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Work Assignment Overview/Deliverables and Outputs/Delivery deadline
1. Workplan and proposal
– Development of Workplan and proposal
20 July 2025
2. Work with Technical Working Group to acquire and prepare administrative education data
– For 3 countries, processed (cleaned, merged, generated new variables, and prepared for analysis) EMIS data from national administrative sources. This includes relevant variables from EMIS and other sources, with cleaned datasets, binary/categorical variables, and reproducible R scripts for analysis
30 August 2025
30 September 2025
31 October 2025
3. Develop and document workflow to clean EMIS data and link it to household survey data
– Three Merged EMIS and household survey data, with a reproducible, well-documented R script for cleaning and merging, posted on GitHub with an example dataset or usage instructions
30 November 2025
4. Produce analysis and factsheets using administrative and household data (3 countries)
– Three Country-level analytical products , with reproducible R codes for analysis, analytical outputs, summary notes, and validated results
Qualifications
Education: Advanced university degree in Economics. Sociology, Statistics, Education, Social Sciences, or other related discipline
Knowledge/Expertise/Skills required *:
1. Advanced Data Analytic Proficiency:
– Demonstrable expertise in data analysis with a strong command of statistical software, with an emphasis on R programming skills as a significant asset. The candidate must be adept at utilizing these tools for complex data manipulation, analysis, and visualization to support decision-making processes. Skills/familiarity with Stata and/or SPSS is an advantage.
2. Reproducible Research Techniques:
– Proficiency in using GitHub for version control, with a proven track record of developing and maintaining reproducible codes. This skill is critical for ensuring transparency, consistency, and collaborative potential in all analytical work.
Sector-Specific Experience with MICS and other household survey data:
– In-depth knowledge and practical experience in handling, interpreting, and analyzing education data from the Multiple Indicator Cluster Surveys (MICS) household survey program. This experience is crucial for generating actionable insights from large datasets. Experience with producing educational estimates from DHS and other household surveys is an advantage.
