Senior Information Management and GIS Associate – DTM

About the role

IOM Papua New Guinea is recruiting a Senior Information Management and GIS Associate for its Displacement Tracking Matrix (DTM) unit. Reporting to the DTM and Solutions & Mobility Index (SMI) Officer, the role provides technical support for DTM information management and GIS activities, including data processing, validation, database and geospatial data management, spatial analysis, dashboards and information products, and support to displacement monitoring, emergency event tracking, rapid assessments and reporting.

Key responsibilities

• Process, validate and report DTM data using statistical software, and maintain DTM databases, geodatabases and information systems with proper documentation and version control.
• Produce spatial analyses and GIS products, and maintain geospatial datasets such as administrative boundaries, settlement layers and infrastructure data.
• Support field teams on digital data collection platforms, GIS tools and information management processes, and propose improvements to data quality and efficiency.
• Analyse DTM data with the supervisor, M&E Officer and Senior Operations Associate, and develop information products and dashboards for programme units.
• Develop maps, infographics and visual products, and contribute to programme updates and humanitarian coordination meetings.
• Build capacity for government counterparts and partners, including NDC and PDC staff, through training and technical guidance on DTM, data collection, validation, GIS and information management.

Required profile

• Bachelor's degree in a relevant field with five years of experience, or high school diploma with seven years of experience.
• Experience in humanitarian information management, data collection and analysis, population or displacement monitoring, mobility tracking or rapid assessments.
• Fluency in English and Tok Pisin; language proficiency is assessed during selection.

Required skills

• Database management, data protection standards and Microsoft Office.
• GIS software such as ArcGIS and/or QGIS.
• Statistical and data visualisation tools such as R and Power BI.
• Familiarity with mobile data collection platforms such as KoboToolbox or ODK is an advantage.