Programme Policy Officer (Climate Data Analyst)

The Programme Policy Officer (Climate Data Analyst) supports the African Disaster Risk Financing Programme by managing climate data essential for disaster risk financing instrument design and implementation. The role involves data collection, validation, analysis, and collaboration with government and partners to enhance risk assessment and financial modeling for climate shocks.

Responsibilities

• Lead the collection, validation, and integration of multi-sectoral datasets relevant to disaster risk and financing.
• Work closely with government agencies, research institutions, and development partners to identify and gather datasets (e.g., hazard exposure, vulnerability, historical loss, fiscal data).
• Clean, validate, process, and analyze data using appropriate statistical and geospatial tools.
• Ensure processed datasets are shared with the wider DRF team and Global HQ, maintaining regular communication with the Macro Technical focal point and regional DRF focal points to align on data needs and priorities.
• Support the preparation and dissemination of technical notes on DRF instruments, ensuring these are accessible to the wider DRF team and contribute to knowledge sharing and alignment.
• Support the ongoing development and refinement of DRF instruments, including contingency financing, ARC replica parameters, and catastrophe layers, by working closely with HQ technical experts, ARC, and relevant research institutes.
• Develop and maintain a structured, secure data repository with standardized metadata and version control.
• Ensure data quality, confidentiality, and compliance with national and international data governance standards.
• Deliver targeted training sessions for government and partner institutions on how data collection connects to DRF instruments, how data is processed and validated, and the types of analyses undertaken to strengthen DRF instruments and overall risk management.
• Facilitate hands-on workshops to strengthen technical skills in climate data interpretation and application for risk financing.
• Perform any other related tasks assigned to support the objectives of the ADRiFi Programme.

Requirements

• Advanced university degree in Data Science, Statistics, Economics, Meteorology, Geography or other relevant academic areas. Alternatively, a first university degree with additional years of relevant experience and/or professional training/certification.
• Minimum one-year relevant professional experience in data analysis, preferably in disaster risk management, climate modeling, or financial risk modeling.
• Experience in developing analytical outputs such as risk profiles, dashboards, and scenario models is a must.
• Experience working with government institutions, research organizations, or international development agencies is an added advantage.
• Strong proficiency in statistical and geospatial analysis tools.
• Demonstrated ability to manage large datasets and ensure data quality and integrity.
• Familiarity with climate and disaster risk data sources, modeling techniques, and index development.
• Knowledge of data governance standards, confidentiality protocols, and metadata management.
• Advanced analytical and problem-solving skills with the ability to interpret complex datasets.
• Strong technical skills in data visualization and geospatial analysis.
• Excellent communication and stakeholder engagement skills for facilitating collaboration and capacity building.
• Ability to develop training materials and deliver workshops effectively.
• Strong organizational skills with attention to detail and ability to meet deadlines.
• Excellent written and oral communication skills in English and Arabic.

Skills

• Data Analysis
• Disaster Risk Management
• Climate Modeling Tools
• Financial Risk Modeling
• Risk Profiling
• Dashboard Development
• Scenario modeling
• Statistical Analysis
• Geospatial Analysis
• Large Dataset Handling
• Data Quality Assurance
• Climate Data Sources
• Disaster Risk Data
• Modeling Techniques
• Index Development
• Data Governance
• Confidentiality Protocols
• Metadata Management
• Data Visualization
• Stakeholder Engagement
• Training Development

Languages

English, Arabic