Senior Coordinator, GIS/Data Analyst

Required Qualifications and Experience

• Bachelor’s degree in GIS, Geography, Environmental Science, Data Science, Public Health, or related field. Master’s preferred.
  
• Minimum of 3–5 years of relevant experience applying GIS to real-world programmatic or tools in a data-driven environment, preferably within the NGO or development sector.
  
• Familiarity with ArcGIS Online, Power BI, GPS data collection tools (e.g., ODK, Kobo), and spatial databases.
  
• Demonstrates a strong analytical mindset and a natural curiosity for uncovering patterns, trends, and actionable insights.
  
• Advanced knowledge and skill in the operation of GIS surveying and related equipment, including computer hardware, plotter/printer setup, GPS.
  

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• Support the development of organizational spatial strategies, data standards, and geospatial system architecture to guide scalable and sustainable GIS integration.
  
• Manage GIS service delivery across programs and initiatives, ensuring quality, consistency, and the generation of meaningful geospatial insights.
  
• Translate complex spatial data into actionable insights, providing geographic intelligence for stakeholders, donors, and decision-makers.
  
• Engage with senior leadership, technical advisors, and field teams to define evolving spatial data needs and ensure fit-for-purpose solutions.
  
• Collaborate with IT, M&E, and research teams to align GIS with analytics platforms, data pipelines, and reporting ecosystems.
  
• Implement and manage GIS dashboards, mobile tools, and digital platforms to optimize data visualization and decision-making workflows.
  
• Ensure adherence to geospatial metadata standards, version control, data governance, and ethical data-sharing practices.
  
• Monitor the impact of GIS tools and processes, refining methodologies based on performance metrics, feedback, and evolving technology.
  
• Design and provide support in overseeing advanced geospatial analyses, including service coverage assessments, catchment modeling, and predictive mapping.
  
• Advise program teams and proposal developers on the integration of geospatial tools, donor compliance, and innovative spatial approaches.