3+ years of professional GIS and spatial analytics experience
Proficiency in ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, and related Esri technologies
Strong experience with Python (arcpy, pandas, geopandas) and SQL for data processing and analysis
Proven ability to build analytical workflows independently and deliver complete, reproducible analyses
Deep understanding of cartography, data visualization, and spatial data science principles
Ability to synthesize complex data into actionable insights and communicate findings effectively to non-technical audiences
Preferred:
Bachelor’s or Master’s degree in GIS, Geography, Data Science, Urban Planning, Computer Science, or a related field, or equivalent professional experience
Experience with Snowflake, Tableau, or Sigma
Responsibilities
Lead analytical projects that integrate spatial and traditional data science to answer key business questions
Conduct in-depth geospatial analysis using Esri tools (ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise) to identify trends, clusters, and opportunities
Translate business problems into analytical approaches and communicate results in clear, data-driven narratives
Develop geospatial models, scoring systems, and custom tools that enhance decision-making and drive measurable outcomes
Build and maintain complete analytical workflows using Python, SQL, and Esri geoprocessing tools
Automate repetitive GIS and data management tasks to improve efficiency and scalability
Integrate and analyze data from multiple sources, including internal databases and external APIs
Support the democratization of geospatial analysis by developing reusable scripts and workflows
Design compelling cartographic products, dashboards, and data visualizations that bring insights to life
Use best practices in map design, symbology, and data storytelling to engage business stakeholders
Assist in the development of dashboards and visual analytics using ArcGIS Online, ArcGIS Dashboards, or complementary BI tools such as Tableau
Collaborate with Data Science, Capital Deployment, and Market Research teams to align analytics with business priorities