Purpose and Scope of Assignment
The staff member will be responsible to coordinate a regional intention survey for Sudanese and South Sudanese across 5 countries. S/he will be responsible to ensure the methodology is updates, the data collected in time, shared and analyzed timely. S/he will be responsible to organize a validation workshop
and to produce and publish the final report.
S/he will be responsible
Monitoring and Progress Controls
update methodology
coordinate 5 country
perform field mission to support country ops
coordate data collection, cleaning, analysis
organize a workshop
publish a report
support the RB in any other duty linked to South Sudanese and Sudanese Initiative
Qualifications and Experience
Essential
Experience with UNHCR, 5 years in data or statistical field, 3 years in international context and/or humanitarian or development situation. Experience with data collection, data sharing, data management and data analysis to support policy formulation and implementation.
Desirable
Knowledge of national and international statistical systems; knowledge of international protection, human rights and international humanitarian law; experience in data collection and analysis in field situations; knowledge of GIS and geospatial systems and techniques.
Education (Level and area of required and/or preferred education) Social Science; Statistics; Information Management; Physical Science; Economics; Data Science; Geography GIS; Engineering; Demography Computer Science; or other relevant field;
Work Experience
6 years relevant experience with Undergraduate degree; or 5 years relevant experience with Graduate degree; or 4 years relevant experience with Doctorate degree
Key Competencies
Functional Skills
DM-Data collection methodologies
DM-Data Management
DM-Database Design & Development
MS-Data Collection and Analysis
DM-Protection Data Management Systems
DM-ArcGIS (Geographic SP-Topographic Surveying Information System)
SP-Mapping Software
DM-Cartographic Skills
PG-Needs Assessment and Response Analysis
DM-Data governance, quality assurance and preservation
DM-Development of and revision of data standards
DM-Qualitative data analysis
DM-Quantitative data analysis
Closing: 8, May, 2023
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