GIS & Spatial Modelling Analyst

Reporting to Programme Specialist (Resilience),the GIS and Spatial Modelling Analyst will provide advanced geospatial and analytical support to strengthen disaster risk reduction (DRR), planning, and decision-making efforts in the state. The role involves developing and managing geospatial databases, conducting spatial risk assessments, supporting HRVA and Disaster Management Plan (DMP) preparation, and facilitating integration with the states disaster MIS.

The expert will work closely with UPSDMA, UPDESCO, RAHAT, and technical specialists to ensure the use of cutting-edge geospatial tools, models, and data for effective planning, monitoring, and response.

Duties and Responsibilities:
(A) Geospatial Risk Assessment & Spatial Modelling:

(1) Provide Technical advice around GIS, remote sensing, and spatial modelling techniques and multi-hazard spatial risk assessments under the project;

(2) Develop vulnerability and exposure layers using socio-economic, environmental, and physical datasets;

(3) Advise the UPSDMA in integration of satellite imagery, drone data, and digital elevation models (DEMs) into risk assessments;

(4) Generate risk atlases, heat maps, and geospatial visualizations to support District Disaster Management Plans and HRVAs.

(B) MIS and Digital Integration Support:

(1) Support UPDESCO and relevant departments in integrating GIS data into the disaster Management Information System (MIS);

(2) Ensure spatial data alignment with MIS design to enable dynamic risk dashboards and location-based analytics;

(3) Establish standardized formats and metadata for seamless integration and data interoperability.

(C) Technical Support for Planning and Preparedness:

(1) Provide spatial inputs and maps for the development of Disaster Management Plans (DMPs), mitigation strategies, and policy briefs;

(2) Assist in scenario planning, climate-resilient urban assessments, and modelling of hazard impacts;

(3) Support sectoral departments in applying GIS for planning and preparedness activities.

(D) Capacity Building & Stakeholder Coordination:

(1) Conduct hands-on training and workshops for state and district officials on the use of GIS and spatial modelling tools;

(2) Collaborate with technical institutions, GIS vendors, and academic partners to promote best practices in spatial analytics;

(3) Facilitate knowledge sharing on innovations in geospatial technology for disaster risk management.

(E) Monitoring, Reporting & Compliance:

(1) Contribute to the development of geospatial indicators for M&E frameworks;

(2) Prepare geospatial dashboards, analytics reports, and infographics for internal and external stakeholders;

(3) Ensure compliance with NDMA advisories, spatial data standards, and government data-sharing protocols.

4.QUALIFICATIONS, EXPERIENCE AND COMPETENCIES:

Qualification:

Masters degree in Geoinformatics, Remote Sensing, GIS, Computer Science, Data Science, Environmental Planning, or related field.

Experience:
(1) Minimum five years of relevant experience in GIS, spatial modelling, and remote sensing in the context of disaster risk management or development planning;

(2) Demonstrated experience in multi-hazard mapping, vulnerability assessments, and risk visualization;

(3) Experience working with SDMA/NDMA or government departments is highly desirable;

(4) Prior experience with donor-funded projects, UN agencies, or development sector projects will be an asset;

(5) Additional experience in procurement of goods and services is desirable.

Skills and Competencies:
(1) Strong expertise in GIS, remote sensing, and spatial risk modelling for multi-hazard assessments;

(2) Proficiency in integrating geospatial data with MIS platforms for disaster planning and monitoring;

(3) Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms (e.g., ERDAS, Google Earth Engine);

(4) Expertise in spatial modelling, exposure analysis, and geostatistical techniques;

(5) Strong database management and data visualization skills (e.g., Power BI, Tableau, or custom dashboards);

(6) Ability to synthesize spatial and non-spatial data for risk-informed decision-making;

(7) Strong interpersonal and communication skills for technical coordination and training delivery.

Languages:
Excellent knowledge of written and spoken English and Hindi is essential.

Competencies:

Technical Competencies:

(1) Knowledge of AI/ML applications in geospatial analytics and risk forecasting;

(2) Familiarity with national and state-level disaster management frameworks, including HRVA and MIS integration;

(3) Experience in drone-based data collection, LiDAR processing, and urban resilience mapping;

(4) Understanding of open data platforms, spatial metadata standards, and web-based GIS tools;

(5) Ability to contribute to real-time risk monitoring systems and digital early warning platforms.

Core Competencies:

(1) Delivers high-quality and timely outputs aligned with project objectives;

(2) Applies critical thinking and introduces innovative approaches to problem-solving;

(3) Adapts effectively to changing priorities and dynamic field conditions;

(4) Demonstrates persistence and accountability in achieving results;

(5) Builds strong partnerships and fosters collaboration with diverse stakeholders;

(6) Promotes inclusive, gender-responsive, and socially equitable planning approaches;

(7) Maintains regular, transparent communication with supervisors, UNDP office, government officials, and project partners;

(8) Proficient in using MS Office (Word, Excel, PowerPoint) and digital communication tools for reporting, documentation, and coordination.