Lead GIS Analyst for Planning & Policy Insights

State of Maryland; Maryland; On-site; USD 85,000 - 120,000; Full time

Job summary

The Maryland Department of Planning is seeking a GIS Analyst Lead to provide advanced geospatial analysis, modeling, quality assurance, and project management for statewide planning initiatives. You will lead data development and ensure data integrity across enterprise geospatial datasets and applications.

Responsibilities include developing GIS models with Python, creating dashboards, and collaborating across agencies to support policy development and land use planning.

Qualifications

• Bachelor's degree from an accredited college or university with 30 credit hours in Geography, Geographic Information Systems, Economics, Environmental Science, Environmental Studies, Planning, Mathematics, Computer Science, Statistics, or Information Technology.
• Three years of experience in geospatial analysis.

Responsibilities

• Acquires, improves, creates, maintains, integrates, and enhances planning-related GIS datasets including Transportation, Housing, Permits, Zoning, and Land use.
• Lead development of geodatabase specifications, database dictionaries and technical procedures.
• Develop and perform quality assurance/testing on geodatabases and datasets.
• Manage design, construction, testing and implementation of GIS models using Python with ArcGIS Pro.
• Develop and maintain GIS applications and dashboards informing planning policy.
• Design custom GIS components and prepare requirements analysis documents and flow diagrams.
• Support independent projects including datasets, maps, online mapping tools, applications, and dashboards.

Job description

The Maryland Department of Planning is seeking a GIS Analyst Lead to provide advanced geospatial analysis, modeling, quality assurance, and project management for statewide planning initiatives. You will lead data development and ensure data integrity across enterprise geospatial datasets and applications.

Responsibilities include developing GIS models with Python, creating dashboards, and collaborating across agencies to support policy development and land use planning.