Risk data Expert – Madagascar at United Nations Office for Disaster Risk Reduction

JobWebKenya

Accounting, Auditing & Finance

Unspecified KSh Confidential
2 months ago

Job Summary

 

Job Description/Requirements

Job Description (adsbygoogle = window.adsbygoogle || []).push({}); UNDRR As the United Nations Office for Disaster Risk Reduction, UNDRR brings governments, partners and communities together to reduce disaster risk and losses to ensure a safer, more sustainable future. UNDRR (formerly UNISDR) is the United Nations focal point for disaster risk reduction. UNDRR oversees the implementation of the Sendai Framework for Disaster Risk Reduction -, supporting countries in its implementation, monitoring and sharing what works in reducing existing risk and preventing the creation of new risk. Photo Abbie Trayler-Smith / Panos Pictures / Department for International DevelopmentDuties and Responsibilities: Support for the development of the national disaster loss database (60% time)The consultant will work in close collaboration with the national DRR authority to enhance the collection, management and governance and application of disaster loss data. He/She will also support the national authority in reporting on the Sendai Framework Monitor. Strong engagement with other the national DRR stakeholders, particularly members of the national DRR platform will be required. Upon agreement with the above, the consultant will:Data management: conducting a diagnostic of disaster loss data; provide recommendations for the harmonization of data across DesInventar and SFM at national level, including the hazard list and data collection tools;Collection of loss data: supporting the government in the collection of disaster loss data to enhance the Government’s and partners’ access to risk information and reporting on the Sendai Framework for Disaster Risk Reduction. As much as possible, all data should be disaggregated to the maximum degree possible by sex, age, disability status, economic, geographic/administrative area, etc;Governance of loss data: conducting a mapping of institutions and organisations who collect disaster loss data and the tools they employ /produce an overview of other government bodies and organizations who collect data on disaster and climate related losses describe the data, the sources of this data, the methodologies used;Providing recommendations on how to enhance institutional linkages to facilitate the sharing of disaster loss data among sectors and institutions; support the National DRR authorities in developing institutional channels for data sharing with selected sectors; support the national authority in strengthening institutional arrangements (e.g., internal SOPs, MoUs with other organizations) for the collection and use of loss data;Supporting the national authority in the process of validating the newly collected loss data;Promoting awareness across relevant national institutions of disaster loss data (collected as per the Sendai Framework indicators) and the tools available for the management and analysis of disaster loss data (DesInventar and SFM) to enhance their capacity to collect, monitor and archive disaster data; Consolidate loss databases and facilitate agreement on the use of such information for disaster management purposes particularly in relation to preparedness;Application / use of loss data: undertaking relevant analysis of collected/existing disaster loss data; support the National DRR authority in producing analysis reports, using existing and new disaster loss data from DesInventar; design and roll out a dissemination plan to make the analysis relevant to selected sectors. Risk data collation (RiX) and risk information for preparedness and early warning 40% time Preparing a preliminary list of risk information (on hazards, vulnerability, exposure) of priority to national stakeholders;Liaise with UNDRR and its technical partners to support the assessment of the legal provisions related to data management, data collection, access and revision cycles. Recommending steps to improve access to risk information.Assess the type of information management systems in use for managing and sharing risk assessment results: data platforms for management and visualization, software systems in use, modules, analytical functionalities, automated linkages, operational architecture, etc. (including an overview of risk information available on Geonode Madagascar)Collect meta-data about applicable information management systems in the country (software, models, storage, sharing, information management strategies, etc.). Overall roll out of risk knowledge activities Facilitating, and contributing substantive inputs into training workshops on risk data, loss data, data management, data governance, data literacy.Working closely with host agency as needed, assess capacity development gaps and opportunities to inform all training and capacity building activities to enhance risk knowledge;Facilitating consultations with UN and national authorities. RequirementsQualifications/special skills Advanced university degree in disaster risk, risk analysis and management, risk modelling (including hazard, vulnerability and exposure) or a related field is required. A first-level university degree in combination with a minimum of 2 additional years of qualifying experience may be accepted in lieu of the advanced university degreeMinimum 5 years of experience in disaster risk reduction, information management, statistics, data analysis, management of quantitative and qualitative data systems, data integration and projection, knowledge of mapping/GIS software as well as relevant humanitarian and/or development work is required.A good knowledge of the national, regional and international context on DRM/DRR as well as Familiarity with government knowledge management resources (sector, macro, sub-national) is required.Excellent analytical, writing and consultation skills with the ability to gather, analyze and synthesize information, and present it in a clear, concise format, is required.Experience with quantitative risk assessment, risk modelling and disaster risk metrics is desirable. Languages Fluency in English and French is required. Proficiency in any other UN languages is desirable.

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