Intern - Data analytics

Organizational Context

The United Nations Human Settlements Programme (UN-Habitat) promotes sustainable urban development globally. The Regional Office for Arab States (ROAS) supports 18 countries, focusing on policy implementation and capacity building. This internship is with UN-Habitat Kingdom of Saudi Arabia, contributing to the Quality of Life Program by developing a Global Quality of Life Index.

Job Purpose

This internship aims to support the UN-Habitat's Quality of Life Program by assisting with data management and quality assurance for the Global Quality of Life Index. The role will contribute to enhancing technical capacity for data utilization, understanding urban quality of life trends, and supporting local and national governments in reporting. The intern will work remotely, focusing on data cleaning, processing, and ensuring the accuracy and reliability of data used for decision-making and policy formulation, thereby supporting sustainable urban development initiatives across the Arab region.

Responsibilities

The Data Support Intern will be responsible for supporting data management and processing activities, including data cleaning, organization, review, and basic validation for the Quality of Life Index. This involves assisting with data entry, maintaining datasets and documentation, and identifying data quality issues. Additionally, the intern will support survey review and localization processes by checking survey forms for consistency and completeness, performing quality checks on multilingual materials, and assisting with survey-related follow-up tasks. The role also includes providing general technical and operational support, such as routine data quality checks, updating documentation, preparing basic data outputs, and offering miscellaneous technical assistance to the Quality of Life Initiative team.

Work Experience

Professional work experience is not required for this internship. However, candidates must have a field of study closely related to data science, statistics, or urban development. Experience in data cleaning, processing, and analysis is required. Familiarity with GIS shapefiles, spatial datasets, or GIS software is desirable. Proficiency in spreadsheet software like Microsoft Excel, including formulas and pivot tables, is essential.

Skills

Data cleaning, processing, and analysis; Spreadsheet software (e.g., Microsoft Excel) proficiency, including formulas and pivot tables; Data management tools; Attention to detail; GIS shapefiles/spatial datasets familiarity (desirable); Organizational skills; Ability to manage multiple tasks; Communication and teamwork skills; Verbal and written English fluency.

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