GIS & Data Coordinator at Wildlife Conservation Society (WCS Rwanda)

Country Program/Sector: Africa Protected Areas Management Unit (APAMU) 

Capacity: Africa-wide 

About Wildlife Conservation Society (WCS)

WCS stands for wildlife and wild places. As the world’s premier wildlife conservation organization, WCS has a long track record of achieving innovative, impactful results on a scale. We run programs spanning the entire ocean and more than 3 million biologically critical square miles in nearly 60 countries. We build on a unique foundation: Our reach is global; we discover through best-in-class science; we protect through work on the ground with local and indigenous people; we inspire through our world-class zoos, aquariums, and education programs; and we leverage our resources through partnerships and powerful policy influence. Our 4,000 diverse, passionately committed team members in New York City and around the world work collectively to achieve our conservation mission. More information at www.wcs.org

Job Purpose: 

The Data Coordinator will support the systematic management and quality of datasets produced by field programs across WCS’ key conservation landscapes and protected area projects in Africa. The position will provide critical support to ensure that data are correct and timely available for decision-making and reporting needs. They will achieve this by working with APAMU Conservation Impact Manager and field-based data managers to ensure that data are managed in accordance with institutional best practices.

Data Management & Analysis: 

• Create and maintain a centralised GIS database for Africa. 
• Prepare and integrate corrected geospatial data layers to support informed decision-making. 
• Visualise geospatial data layers in detailed maps to serve as the basis for planning and decision-making. 
• Support the implementation and training of field teams in common data collection and analysis workflows across sites using a suite of software including, but not limited to, SERCA tools (ArcGIS Pro and Enterprise, Kobo ToolBox, SMART, ER, Ecoscope, etc.). 
• Support the centralisation, validation, and organisation of data from multiple data sources. 
• Ensure datasets are correct and formatted to conduct basic–intermediate data analysis to identify trends, errors, and insights. 
• Undertake regular field visits to verify data quality, understand operational contexts, and strengthen local data systems and capacity. 
• Provide ad-hoc support to field-based teams to strengthen data quality and completeness, as well as apply institutional standards. 
• Produce data summaries and visualisations as required. 

MEL Coordination & Support: 

• Provide hands-on technical support and capacity building to field teams to improve data practices and use of software and conservation technologies (including GIS, ER, SMART, KoboToolBox, etc). 
• Assist with documentation of methodologies, standards, and guidelines as required by the Conservation Impact Manager. 
• Support internal learning activities such as workshops, training, and cross-program data reviews. 

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