Result of Service
Cleaned analytical dataset
Fully documented analytical code
Statistical tables
Charts, graphs, and other visualizations
Technical documentation describing the analytical methodology
Duties and Responsibilities
Review the Dbayeh Camp Population Enumeration and Housing Assessment datasets and supporting documentation.
Compile, clean, validate and analyse the quantitative data using appropriate statistical methods.
Develop reproducible analytical workflows and well-documented analytical code to support future updates of the analysis.
Produce statistical tables, charts, graphs and other data visualizations to communicate key findings.
Analyse demographic characteristics, household composition, housing conditions, socioeconomic indicators, vulnerabilities and other relevant variables.
Identify key trends and relationships within the data and interpret their programmatic implications.
Prepare technical documentation describing the analytical methodology, assumptions, variables and analytical processes.
Prepare a comprehensive analytical report presenting the methodology, findings, conclusions and recommendations.
Revise analytical outputs and the final report in response to comments received during the review process.
Present the findings to RSSD management and technical staff, as required. Payments shall be made upon satisfactory completion and acceptance of the relevant deliverables by the Deputy Director, RSSD. The remuneration and payment schedule are fixed.
Qualifications/special skills
The Quantitative Analyst Consultant will analyse the data collected through the Dbayeh Camp Population Enumeration and Housing Assessment to produce a comprehensive analytical report that supports evidence-based programme planning and policy development. The consultant will conduct statistical analyses of demographic, socioeconomic, housing, and vulnerability data, identify key findings and trends, prepare tables, figures, and data visualizations, and produce a high-quality analytical report documenting the methodology, findings, conclusions, and recommendations.
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.
Proficiency in R and/or Stata for statistical analysis and data processing is required
Proficiency in SQL for data extraction and management is desirable.
Experience producing high-quality statistical tables, charts, and data visualizations is required
Experience developing reproducible analytical workflows is required
Strong analytical, quantitative, and technical writing skills are 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 Education 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.
Languages
Result of Service The Quantitative Analyst Consultant will analyse the data collected through the Dbayeh Camp Population Enumeration and Housing Assessment to produce a comprehensive analytical report that supports evidence-based programme planning and policy development. The consultant will conduct statistical analyses of demographic, socioeconomic, housing, and vulnerability data, identify key findings and trends, prepare tables, figures, and data visualizations, and produce a high-quality analytical report documenting the methodology, findings, conclusions and recommendations. Work Location Remote Expected Duration All deliverables are expected to be completed within one month.
Additional Information
The total remuneration for this assignment is USD 9,000