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UNESCO is inviting written proposals from Individuals for the work assignment. This consultancy aims to support streamlined and reproducible Stata- and R-based workflows for the production of education-related indicators using household survey data. The work will help develop the GEM Report’s online data platforms and contribute to analyses of the results for the GEM Report’s publications and communications.
Job Responsibility:
Support the compilation of data sources for SDG 4 monitoring, with a particular focus on national sources
Strengthen data harmonization, reproducibility and quality assurance workflows
Support the analysis and reporting of microdata sets to update the WIDE, VIEW and SCOPE websites, in coordination with the GEM Report monitoring team
Contribute to GEM Report team outputs upon request
Requirements:
Advanced university degree (Master’s degree or equivalent) in education, development studies, economics, sociology, social policy, applied statistics, data science or another related social science discipline
5 years of relevant working experience, of which at least 4 years as a researcher and/or data analyst working with household survey and/or census microdata at the individual or household level
Demonstrated experience producing education-related indicators (e.g. access, participation, completion, inequalities) using household survey data
Proven experience producing analytical outputs based on large-scale data analysis, such as technical reports, working papers, policy briefs, dashboards or peer-reviewed publications
Excellent data analysis skills, including data cleaning, recoding, harmonization and validation of microdata
Advanced statistical programming skills in R and Stata
Demonstrated experience using version control systems (e.g. Git/GitHub) for collaborative and reproducible analytical workflows
Experience working with and reconciling data from multiple sources, including non-standardized national surveys
Experience working with large datasets, including high-volume files
Strong ability to perform independent quality assurance and validation of statistical results
Ability to present complex analytical results clearly through tables, graphs and figures
Strong drafting skills in English, including the ability to write technical documentation and methodological notes for different audiences
Strong analytical judgement, attention to detail and ability to think critically and innovatively
Demonstrated capacity to work under tight deadlines and manage multiple tasks in parallel
Ability to work effectively and collaboratively in a multicultural, team-based environment