Quantitative Analyst Consultant

Overview

The Quantitative Analyst Consultant will analyze datasets to produce a comprehensive analytical report supporting evidence-based program planning and policy development.

Key Responsibilities

• Review datasets and supporting documentation.
• Compile, clean, validate and analyse quantitative data.
• Develop reproducible analytical workflows and documented analytical code.
• Produce statistical tables, charts, graphs and other data visualizations.
• Analyse demographic characteristics, household composition, housing conditions, socioeconomic indicators, vulnerabilities and other relevant variables.
• Identify key trends and relationships and interpret programmatic implications.
• Prepare technical documentation describing the analytical methodology, assumptions, variables and analytical processes.
• Prepare a comprehensive analytical report.
• Revise analytical outputs and the final report.
• Present findings to management and technical staff, as required.

Required Experience

A minimum of two years of progressively responsible experience in quantitative analysis, statistical modelling, survey analysis, data science, or a related field is required. Experience analysing household surveys, census, or population datasets is required. Experience producing statistical reports and analytical publications is required. Experience working with humanitarian, development, or social protection data is desirable. Experience within the United Nations system or another international organization is desirable. Experience producing high-quality statistical tables, charts, and data visualizations is required. Experience developing reproducible analytical workflows is required. 7 years of experience including a minimum of two (2) continuous years of relevant international experience outside UNRWA and outside the country(ies) of their nationality or citizenship.

Qualifications

Advanced university degree (Master's degree or equivalent) in Statistics, Demography, Economics, Data Science, Applied Mathematics, Quantitative Social Sciences, Public Health, Computer Science, or another related quantitative discipline.

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