BACKGROUND UN-Habitat established the Data and Analytics Unit under the Knowledge and Innovation branch of UN-Habitat as a specialized statistical unit in charge of global monitoring of the Habitat Agenda and other agendas with an urban linkage. DAU has more than 20 years' experience in the collection, analysis and production of urban data at the world level and in specific cities. In line with UN-Habitat's mandate, DAU is working to a) Improve the capacity of countries and cities to access relevant information, setting global standards in the design analysis and collection of urban data, and supports the translation of data/information into policy formulation; b) Guide methodological developments of the urban related indicators and targets used by the international development community to monitor global progress towards implementation of the NUA and the urban SDGs; c) Improve worldwide urban knowledge base by supporting governments, local authorities and civil societies in the development and application of policy-oriented urban indicators, statistics and other urban information. In 2015, DAU produced the 6th Global Urban Indicators Database (VI) update. In addition to addressing the Habitat Agenda, this database provides information on selected SDGs, especially those in Goal 11 and the New Urban Agenda (NUA). In 2020, the UN Statistical Commission tasked UN-Habitat with leading global efforts towards harmonization of monitoring of urban indicators across all UN agencies. Through a collaborative effort involving other UN agencies, city and national government representatives, academia, civil society groups among others, the Global Urban Monitoring Framework (UMF) was developed in 2021, bringing together indicators from a diversity of thematic indices as well global agenda such as the City Prosperity Index (CPI), SDGs, NUA, the Sendai Framework etc and was endorsed for Global implementation by the United National Statistical Commission in 2022. The UMF is currently being implemented by many cities directly and through adapted frameworks including the Shanghai Adapted Index (SAI) and is positioned to shape future urban monitoring efforts by UN-Habitat and other agencies. Additionally, DAU has been supporting UN-Habitat’s mission in the priority areas of land, housing, and infrastructure by promoting the generation and use of land and housing data through the Urban Observatory Model, as well as by leading the development of housing data systems, including National Housing Information Systems (NHISs). RESPONSIBILITIES The consultant will work in the Knowledge and Innovation Branch, under the direct supervision of the Chief of the Data and Analytics Unit. She/he will be responsible for the following tasks: 1. Technical contributions to development of indicator system for the informal settlements module of the Namibia National Housing Information Systems (NHIS). 2. Leading the development of geospatial data tools, coordinating data collection, and conducting spatial mapping of housing and informal settlement data across five selected settlements, culminating in a comprehensive report with key findings and proposals for the data integration into into the NHIS Informal Settlement Module.

Qualifications/special skills

Advanced university degree (Master's degree or equivalent) in urban planning, statistics, demography, economics, urban studies, or any other closely related field is required. At least seven years of experience is required as researcher/analyst working on urban and human settlements issues at the local, national, and international levels is required. Good knowledge of and experience working with indicator frameworks is highly desirable.

Languages

For this consultancy, fluency in oral and written English is required. Although not a requirement, knowledge of any other UN language will be an advantage.

Additional Information

Not available.

No Fee

THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.