Data Processing and Cleaning for UNFPA Somalia

DetailsMission and objectives

Update

Context

UNFPA Somalia is supporting the pre-census activities to improve demographic data availability for policy and planning. To enhance real-time monitoring, spatial analysis, and communication of data insights, UNFPA Somalia is engaging online volunteers with technical expertise in key data areas.

Task type

Data processing

Task description

Preparation of data for analysis which includes -data editing, splitting, merging, cleaning, imputation and restructuring. Development of associated syntax for in SPSS or Stata for reproducibility . Transfer of skills to the national technical staff involved in the project. Preparation of the tabulation plan for the socio-demographic survey based on the questionnaire and the project document, Generation and validation of tables with the guidance of the UNFPA demographer. Development of associated syntax for in SPSS or Stata for reproducibility .

Required experience

Bachelor’s degree or ongoing studies in population studies/demography, statistics, computer science, economics, data science or any other relevant field. Required Skills and Experience: - Relevant experience aligned with the role’s responsibilities. - Proficiency in statistical data analysis tools (e.g., SPSS, Stata, SAS, R, Python). - Experience in online collaboration and development context is an asset.

Languages

English, Level: Fluent, Required Somali, Level: Native language, Desirable

Other informationInclusivity statement

United Nations Volunteers is an equal opportunity programme that welcomes applications from qualified professionals. We are committed to achieving diversity in terms of gender, care protected characteristics. As part of their adherence to the values of UNV, all UN Volunteers commit themselves to combat any form of discrimination, and to promoting respect for human rights and individual dignity, without distinction of a person’s race, sex, gender identity, religion, nationality, ethnic origin, sexual orientation, disability, pregnancy, age, language, social origin or other status.

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