- Minimum Qualification :
- Experience Level : Entry level
- Experience Length : 2 years
Job Description/Requirements
ABOUT THE COMPANY
Nairobi is the headquarters duty station for the United Nations Human Settlements Programme (UN-Habitat) the United Nations agency mandated with ensuring better urban future by promoting socially and environmentally sustainable human settlements development and the achievement sustainable development goal 11 (SDG 11). Although the mandate of UN-Habitat is global, the agency has placed special emphasis on working for the benefit of the host country through contributing to Kenya’s development priorities in a variety of ways. UN-Habitat Regional Office in Africa (ROAf) located in Nairobi, Kenya, is supporting priorities of member states and governments to achieve sustainable urban development. Implementation of Kenya programmes is carried out within the ROAf.
JOB SUMMARY
Qualifications/special skillsA first-level university degree in remote sensing, geographic information systems, urban planning, geography, or any other closely related field is required.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, 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 will be an added advantage.
RESPONSIBILITIES
The geospatial data analyst consultant will work in the Data and Analytics Unit, under the direct supervision of both the geospatial data lead and the Chief of the Data and Analytics Unit. The consultant will be responsible for the following tasks in a selected sample of cities from all world regions:Provide technical contributions to the delineation of urban boundaries for calculation of SDG indicators 11.2.1, 11.3.1, and 11.7.1 based on the degree of urbanisation (DEGURBA) approachProvide technical contributions to processing statistics for SDG indicators 11.2.1, 11.3.1, and 11.7.1Provide technical contributions to training, execution and validation of machine learning models developed by DAU for housing stock estimation.Develop scripts for spatial data analysis, support automation, and contribute to capacity-building efforts including training on SDG 11 methodologies.
REQUIRED SKILLS
Planning, Reporting, Engineering, GIS surveying, Object oriented programming
REQUIRED EDUCATION
Bachelor's degree
Important Safety Tips
- Do not make any payment without confirming with the BrighterMonday Customer Support Team.
- If you think this advert is not genuine, please report it via the Report Job link below.
