Programme Policy Officer (Climate Data Analyst)

About the role

The World Food Programme (WFP) is recruiting a Programme Policy Officer (Climate Data Analyst) for a 12-month service contract (SC8) in Port Sudan, Sudan. The role supports the African Disaster Risk Financing (ADRIFI) Programme, which uses market-based disaster risk financing instruments such as macro-insurance to protect vulnerable communities. The Climate Data Expert reports directly to the Project Lead.

Key responsibilities

• Lead the collection, validation and integration of multi-sectoral datasets on disaster risk and financing, working with government agencies, research institutions and development partners.
• Clean, validate, process and analyse data using statistical and geospatial tools, and share processed datasets with the DRF team and Global HQ.
• Support the preparation of technical notes on DRF instruments and their ongoing development, including contingency financing, ARC replica parameters and catastrophe layers.
• Develop and maintain a secure data repository with standardized metadata and version control, ensuring data quality, confidentiality and compliance with data governance standards.
• Deliver training sessions and hands-on workshops on data collection, processing, validation and climate data interpretation for government and partner institutions.
• Produce analytical reports and dashboards, document data management protocols and metadata standards, and support knowledge management and performance reporting.

Required profile

• Advanced university degree in Data Science, Statistics, Economics, Meteorology, Geography or a related field; alternatively a first degree with additional relevant experience and/or professional training.
• At least one year of professional experience in data analysis, preferably in disaster risk management, climate modeling or financial risk modeling.
• Experience producing risk profiles, dashboards and scenario models is a must; experience with government, research or international development agencies is an advantage.
• Excellent written and oral English and Arabic.

Required skills

• Strong proficiency in statistical and geospatial analysis tools.
• Ability to manage large datasets and ensure data quality and integrity.
• Knowledge of climate and disaster risk data sources, modeling techniques, index development and metadata management.
• Strong communication, stakeholder engagement and training delivery skills.