FLS Data Analyst- Individual Consultancy, Data & Analytics Section, MICS, OSE, 10 Months, Innocenti, Florence, Italy (Remote), #594751

Organizational Context

UNICEF works in over 190 countries and territories to save children’s lives, defend their rights, and help them fulfill their potential. At UNICEF, we are committed, passionate, and proud of what we do for as long as we are needed. Promoting the rights of every child is not just a job – it is a calling.

Job Purpose

The consultant will support UNICEF in developing a new composite indicator of schooling and learning deprivation using data from the MICS Foundational Learning Skills (MICS-FLS) module across 44 countries and territories. The work involves reviewing country-level implementation conditions and writing reproducible R syntax to compute reading and numeracy indicators that account for differences in administration protocols across countries. All analytical outputs will be managed through a structured Git repository to ensure transparency, version control, and reproducibility. The new indicator will be validated against the ECDI and SDG 4.1.1 indicators (a, b and c) to confirm its predictive validity and alignment with established global frameworks. In addition to the analytical work, the consultant will develop an interactive visualization product featuring 15 or more data visualizations that communicate findings on the new indicator with a focus on equity and learning gaps. This public-facing output will draw on the full 44-country dataset and present results in an accessible, visually compelling format for a broad audience. The assignment concludes with the preparation of comprehensive documentation supporting reproducibility and an operational workflow for annual updates, to be stored on GitHub and SharePoint for institutional use by UNICEF.

Responsibilities

Develop a new composite indicator of schooling and learning deprivation using MICS-FLS data from 44 countries. Review country-level implementation conditions and write reproducible R syntax to compute reading and numeracy indicators, accounting for variations in administration protocols. Manage all analytical outputs using a structured Git repository for transparency, version control, and reproducibility. Validate the new indicator against ECDI and SDG 4.1.1 indicators (a, b, and c) to ensure predictive validity and alignment with global frameworks. Develop an interactive visualization product with at least 15 data visualizations to communicate findings on the new indicator, emphasizing equity and learning gaps. Present results from the 44-country dataset in an accessible and visually compelling format for a broad audience. Prepare comprehensive documentation to support reproducibility and an operational workflow for annual updates. Store all outputs on GitHub and SharePoint for institutional use by UNICEF.

Work Experience

At least 2 years of experience in analysis for educational assessment or similar, preferably in reading and math assessments.

Skills

Data analysis, Educational assessment, Psychometrics, R programming, Git, Data visualization, Indicator development, Reproducible research, Equity analysis, Learning deprivation, MICS-FLS data, SDG indicators

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