National Data Systems Expert

Food and Agriculture Organization

Location:
Freetown, Sierra Leone
Grade:
N/A
Category:
Professional Staff
Posted Oct 14, 2026Apply by Oct 28, 2026 (6d left)
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The National Data Systems Expert will support climate and environment data-management at EPA Sierra Leone, strengthen the capacity of the Centre for Environmental Data and Statistics (CEDAS) to manage climate change adaptation data, generate knowledge, and disseminate climate information. The expert will collect, validate, standardize, and upload climate data, provide system configuration support, user training, and documentation to facilitate data integration and management.

Responsibilities

  • Support data gaps and needs assessment through identifying and inventorying existing climate data sources and gaps/needs at policy, institutional, and technical levels, through consultations and desk review, and then facilitate uploading the collected data into CEDAS.
  • Support the installation and configuration of geospatial software and equipment by following approved instructions. Test software, equipment, and data connections.
  • Assist with delivering training sessions using supervisor-approved content. Maintain attendance records and document topics, materials, participant feedback, and outcomes for review.
  • Support demonstrations of the CEDAS platform to the EPA-SL, CEDAS team, the NAC using datasets validated by the team responsible. Record questions, feedback, and follow-up items. Provide technical assistance to format and map data according to approved CEDAS and other applicable standards before entry or upload.
  • Carry out assigned data quality checks using approved methods. Record results, discrepancies, and corrections. Compile routine data management reports using available records, including entry status, completeness, quality-check results, and outstanding issues.
  • Log system issues and errors, document their observed impact, and record actions taken as instructed. Refer issues requiring decisions or further action to the supervisor.

Requirements

  • Master’s degree in information technology, Environmental Data Science, Geographic Information Systems (GIS) or related field (e.g., Statistics, Data Management, Software Engineering).
  • At least five years of experience in the implementation of environmental assessment, climate data collection, and related capacity building using Geo-Spatial Tools.
  • Working knowledge (level C) of English.
  • National of Sierra Leone.
  • Proven experience in data entry, validation, and management within centralized or cloud-based data systems.
  • Experience working with data collection tools, databases, and data integration platforms.
  • Familiarity with data standards, formats, and validation techniques.
  • Experience supporting system configuration, user training, and documentation related to data systems.
  • Excellent communication skills, both oral and written.
  • Experience in organizing and conducting regional and national workshops/training sessions and in climate change adaptation, NAP formulation, and project implementation.
  • Technical understanding of UNFCCC policies and guidelines and environmental carbon markets.
  • Knowledge in capacity development, experience.
  • Familiarity with GCF processes and UNFCCC guidelines.
  • Previous experience working in similar projects, especially on NAP GCF Readiness.

Skills

  • Environmental Data Science
  • Geographic Information System
  • Geo-Spatial Tools
  • Environmental Assessment
  • Climate Data Collection
  • Data Entry
  • Data Validation
  • Data Management
  • Cloud-based Data Systems
  • Data Collection Tools
  • Databases
  • Data Integration Platforms
  • Data Standards
  • Data Formats
  • Validation Techniques
  • System Configuration
  • User training
  • Documentation
  • Workshop Facilitation
  • Climate Change Adaptation
  • NAP Formulation
  • Project Implementation
  • UNFCCC Policies
  • Environmental Carbon Markets
  • Capacity Development
  • GCF Processes
  • NAP GCF Readiness

Languages

English