Result of Service

Successful generation of geospatial data on three SDG indicators – 11.2.1, 11.3.1 and 11.7.1 for 100 priority cities selected through DAU’s global sampling procedures, and generation of building floor data necessary in the computation of the housing stock in selected urban areas for a total of 30 cities.

Work Location

Kenya

Expected duration

6 Months

Duties and Responsibilities

BACKGROUND UN- Habitat established the Data and Analytics Unit (formerly known as Global Urban Observatory (GUO)) 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 UNHabitat’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. As part of UN-Habitat’s efforts to provide technical support to countries worldwide for efficient monitoring and reporting on urban development agendas, the Data and Analytics Unit (DAU – formerly known as Global Urban Observatory (GUO) under the Knowledge and Innovation branch, is currently leading SDG 11 and the NUA monitoring at the global level. This task involves development of methodologies which are globally applicable and adaptable to the country level for urban data generation, their piloting, building the capacity of countries to use these methods and undertake continuous reporting on the urban related indicators, and supporting countries and cities to generate accurate and up to date data which is used for national and global reporting on the progress towards sustainable cities and human settlements. As postulated in the SDG monitoring framework, the structures for data collection, and the resulting data should be disaggregated across several thematic areas – gender, age, persons with disability. UN-Habitat is directly in charge of 11 indicators within the SDG framework (8 in SDG 11, 2 in SDG 1, and 1 in SDG 6), and supports work on 7 other SDG 11 indicators. RESPONSIBILITIES The spatial data analysis junior assistant will work in the Knowledge and Innovation Branch, under the direct supervision of the task manager and the Chief of the Data and Analytics Unit. The consultant will be responsible for the following tasks: 1.Extraction of built-up areas and open spaces from satellite imagery. 2.Digitization of public transport stops from various open data sources. 3.Collection of data from various national statistical offices and other verified sources and assessing its correctness and authenticity before it is integrated into the urban indicators database. 4.Contributing to the development of tools and executable programmes for spatial data analysis.

Qualifications/special skills

A High school diploma or equivalent is required. Additional training in remote sensing, geographic information systems, urban planning, geography or any other closely related field is highly desired. At least 3 years’ experience working on spatial data analysis, image interpretation, data extraction from satellite imagery and maps creation and digitization. High proficiency in Geographic Information Systems and remote sensing software (egs ArcGIS, ArcGIS online, QGIS, ErdasImagine, ENVI, Google Earth Engine) is required. Experience working as a spatial data analyst is desirable. Knowledge of and experience working with the SDGs is highly desirable. Knowledge in GIS relevant programming skills, geostatistical workflows and GIS online systems is 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.