Senior GIS Analyst -ArcGIS Pro

Job Description

We are seeking a highly skilled and self-driven Senior GIS Analyst with deep expertise in ArcGIS Pro to join our team. The ideal candidate will have 5–8 years of experience working with spatial data, delivering
geospatial solutions, and engaging directly with clients to understand requirements, present findings, and drive project execution.

Roles & Responsibilities

• Design, develop, and manage GIS-based solutions using ArcGIS Pro and related Esri tools.
• Conduct spatial data analysis, geoprocessing, and visualization in both 2D and 3D environments.
• Automate workflows and support advanced geospatial modeling using ArcPy/Python.
• Lead end-to-end project execution, including requirement gathering, solution design, implementation, and delivery.
• Serve as a primary point of contact for clients – participate in meetings, understand business problems, and translate them into technical GIS workflows.
• Collaborate cross-functionally with data engineers, developers, and business analysts to integrate geospatial intelligence into broader business solutions.
• Stay updated with Esri product releases and GIS industry trends.

Skills

Qualifications and Skills
• 5–8 years of professional experience working with ArcGIS Pro, ArcGIS Online/Enterprise, and related Esri tools.
• Strong proficiency in spatial analysis, data management, and map creation.
• Hands-on experience with Python scripting (ArcPy) for automating tasks and performing advanced geoprocessing.
• Experience working with geodatabases, feature classes, shapefiles, and spatial data formats.
• Proven experience in client interactions, stakeholder communication, and project ownership.
• Strong problem-solving skills with attention to detail.
• Excellent verbal and written communication skills.

Preferred Qualifications:
• Experience with ArcGIS Enterprise or ArcGIS Online publishing and administration.
• Familiarity with web GIS, dashboards, and StoryMaps.
• Experience integrating GIS with business intelligence tools or relational databases.
• Knowledge of spatial databases (PostGIS, SQL Server Spatial, etc.) is a plus.