Spatial Data Analyst

Duties and Responsibilities 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; 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; 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 Statistics Unit (DSU) 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. Qualifications/special skills 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 2 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) 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 will be an added advantage.