Org. Setting and Reporting
The United Nations Human Settlements Programme, UN-Habitat, is the agency for human settlements. It is mandated by the UN General Assembly to promote socially and environmentally sustainable towns and cities with the goal of providing adequate shelter for all.
The position is in the Data and Analytics Section of the Knowledge & Innovation Branch of UN-Habitat in the External Relations, Strategy, Knowledge and Innovation Division of UN-Habitat (ERSKI).
ERSKI is responsible for strategic planning, programmatic direction and operationalization of UN-Habitat's focal point role for the New Urban Agenda, and 2030 Agenda for Sustainable Development in the UN system and for coordination of Emergency Programmes.
The Knowledge and Innovation Branch is responsible to lead the development of policies and procedures on results-based management and coordinates the preparation of the strategic plan, programme and budget plans and monitors and reports on global agendas and policy implementation; it leads and facilitates an enabling environment for use and deployment of innovation and data.
The Data and Analytics Section is responsible to lead and coordinate the data pillar for the development and monitoring of a United Nations system-wide strategy on urbanization;
leading mainstreaming of data and monitoring support to countries and cities to develop the Voluntary National Reviews (VNRs), Voluntary Local Reviews (VLR) in line with the NUA and 2030 Agenda for Sustainable Development; coordinate UN-Habitat's participation and representation in UN Statistical Commission, Interagency Expert Group on SDGs Indicators (IAEG-SDGs), UN geospatial network-UNGGIM, Regional SDGs review forums and other global and regional Inter-agency Expert standing committees on statistics and data related issues.
The position reports to the Chief of Section/Statistician in the Data and Analytics Section.
Within delegated authority, the Statistician will be responsible for the following duties:
•Support the collection, processing, evaluation and dissemination of various forms of data from Member states, UN-Habitat branches and regional or field offices, civil society, NGOs and partner databases including those from other UN agencies, UN Statistical Division, UN population Division, etc.
•Organizes, designs, plans and carries out the collection, evaluation, analysis, compilation and dissemination of statistical data by selecting methods of data collection, selecting and implementing methods for checking collected data, and selecting and implementing appropriate methods for data processing for incorporation into databases.
•Participates in the development, implementation and management of statistical database(s). Compile a database comprising of SDG 11 and other Human Settlement Indicators at the city level using different data sources such as national censuses; Demographic and Health Surveys (DHS); Multiple Indicators Cluster Surveys (MICS); Urban Inequities Surveys (UIS); various national household surveys; and other administrative sources.
•Contribute to the data analysis and updates of the Urban Indicators Database including follow up with National Statistical systems on urban SDGs and City Prosperity Index (CPI) related data and reporting mechanisms.
•Provides training and technical support on data collection programmes, country practices and other related information.
•Contribute to piloting data gathering using tools developed by DAU as part of monitoring and reporting of the NUA
•Participates in the development or revision of standards on statistical concepts, definitions and classifications by performing methodological research.
•Prepares draft technical documents for international, intergovernmental and expert group meetings and assists in drafting relevant reports.
•Undertake any other activities in support to the development of urban SDGs metadata and indicator methodological works and organization of Expert Group Meetings.
•Participates in the review and compilation of background materials, e.g., previous survey material and results.
•Assists in the evaluation and examination of data sets for accuracy, clarity and validity.
•Compiles basic statistical series for comparison against estimates.
•Organizes and participates in seminars, working groups and expert meetings as a technical resource person.
•Guides trains and supervises general service staff.
•Performs other duties as assigned.
Interested candidates can obtain a list of advice and practical tools compiled into a step-by-step guide. It is aimed at helping candidates improve their CV drafting skills and increase their chances of success when applying to the position.