Advocacy, Reporting and Data Intern at UN-Habitat

Duties and Responsibilities

Stakeholder Database Management and Updating


Maintain and regularly update the stakeholder database with new registrations, consultation records, and stakeholder contacts


Data Cleaning and Consolidation


Apply agreed data cleaning rules to ensure accuracy, consistency, and integrity of the dataset
Conduct regular data quality checks and validation


Data Analysis and Reporting Support


Prepare and maintain analysis-ready datasets for reporting and stakeholder engagement activities
Apply appropriate AI Tools to enhance data analysis, automate processes, and improve reporting outputs.
Support the generation of summary statistics as requested and develop analytical outputs on different applications (e.g. Excel, Canva, PowerBI, SPSS) 4)


Global Advocacy and campaigns


Develop compelling advocacy materials, including articles, blog posts, social posts, and newsletters, to effectively communicate key messages on adequate housing and sustainable urban development.
Collaborate with team members to create visually engaging content, to amplify advocacy efforts.
Support the team on planning, organization and execution of advocacy events, WUF sessions, and campaigns aimed at raising awareness and mobilizing support for housing and urban initiatives.
Support logistics and manage communications and ensure seamless execution of events both in-person and virtually.


Coordination of the UN-Habitat Strategic Plan Subprogramme


Maintain and regularly update the monitoring and reporting database of Subprogramme 4 with inputs from the UN-Habitat Focal Points; Support the collaboration networks and database of Focal Points.
Support the Subprogramme 4 Coordinator in drafting the progress reports and related presentations for the Director of GKAD, the UN-Habitat executive management group and for review meetings by governing bodies of UN-Habitat.


Qualifications/special skills

Applicants must at the time of application, meet one of the following requirements:


Be enrolled in a graduate school programme (second university degree or equivalent, or higher),
Be enrolled in the final academic year of a first university degree program (minimum Bachelor's level or equivalent),
Have graduated with Bachelor's degree, Masters, PhD or equivalent.
Be computer literate in standard software applications (Microsoft Office Suite).
Have demonstrated a keen interest in the work of the United Nations and have a personal commitment to the ideals of the Charter.
Have a demonstrated ability to successfully interact with individuals of different cultural backgrounds and beliefs, which includes a willingness to try and understand and be tolerant of differing opinions and views. Preferred areas of study: Bachelor's degree in Data Science / Statistics, Economics, Information Management / Information Systems, Communications, Public Relations, Business Administration, Urban Studies / Development Studies or related field is required.
Applicants to the UN Internship Programme are not required to have professional work experience.
However, a field of study that is closely related to the type of internship that you are applying for is required.
Applicants must be a student in the final year of the first university degree (bachelor or equivalent), Master's or Ph.D. Programme or equivalent, or have completed a Bachelor's, Master's or Ph.D. Programme. Do you meet any of the above criteria? If yes, please indicate which one and attach proof to the application.
Please note that you will have to provide an official certificate at a later stage. Proficiency in Microsoft Excel for data management and analysis is required.
Please explain how you meet this criterion, including examples of how you have used Excel to clean, organize, or analyse datasets (e.g. use of formulas, filtering, deduplication, or pivot tables).
Experience in data cleaning, consolidation, and managing large datasets is required.
Please describe your experience handling datasets with duplicate or inconsistent entries, including the approach you used to identify, clean, and consolidate data.