GIS Analyst
Resume Reviewal will begin October 1st, 2025.
The GIS Analyst supports spatial data and mapping needs across a variety of projects by managing, analyzing, and visualizing geospatial information. This role works closely with the GIS Manager and other team members to develop and maintain spatial datasets, perform quality assurance/quality control (QA/QC), create static and simple interactive maps, and conduct spatial analysis to support decision-making. The GIS Analyst collaborates with internal teams and external stakeholders to gather requirements, develop GIS solutions, and ensure data integrity. This position also provides user support, troubleshoots GIS-related issues, and contributes to the continuous improvement of GIS workflows and standards.
Supports ongoing GIS projects by handling day-to-day GIS data development and maintenance, map creation, and analysis tasks.
Cartographic Design & Map Production - Design and produce high-quality static and interactive maps, ensuring clarity, accuracy, and adherence to cartographic best practices.
Maintain metadata for geospatial datasets in accordance with agency standards; create/update technical documentation for GIS data updates, workflows and procedures.
Conduct QA/QC on GIS data to identify errors, ensure data integrity, and maintain consistency across datasets.
Spatial Analysis - Perform spatial queries, geoprocessing, and analytical tasks to support decision-making and problem-solving.
Collaborate with other team members to identify and implement improvements to GIS workflows and processes.
Other duties as assigned as related to the position (typically 5% - 10%)
- Geospatial Data Management: Understanding of GIS data types (vector, raster), coordinate systems, projections, and data formats (e.g., shapefiles, geodatabases)
- GIS Software: Proficiency in ArcGIS Desktop (ArcGIS Pro), ArcGIS Online/ArcGIS Enterprise.
- Mapping and Cartography Principles: Knowledge of cartographic design principles to create clear and effective maps.
- Working knowledge of map coordinate systems and projections
--Spatial Analysis Fundamentals: Understanding of spatial relationships, overlay methods, buffers, and geoprocessing tools
- Database Management: Familiarity with geodatabases, including basic database structures and principles for maintaining spatial data integrity.
- Understanding of metadata standards and the importance of documenting data sources, processes, and updates for future use.
- Awareness of data accuracy, resolution, and precision considerations in maintaining high-quality geospatial datasets.
- Performance Management (PM), and Continuous Quality Improvement (CQI) and Lean methodologies.
GIS Data Processing: Ability to update, clean, and organize GIS data to ensure its quality and accuracy.
- Map Creation and Visualization: Strong skills in creating maps that meet specific needs for presentations and reports.
- Converting data between formats (e.g., shapefiles, geodatabases, CSVs) and integrating spatial and tabular data from various sources.
- Strong attention to detail when developing and editing spatial data, maps, other GIS products.
- Familiarity with coordinate systems, datums, and projections, and the ability to correctly reproject spatial datasets for analysis or display.
- Experience performing QA/QC on geospatial data
- Web Mapping: Experience in developing simple, user-friendly web maps using ArcGIS Online or ArcGIS Enterprise.
- Basic proficiency with ArcGIS geoprocessing tools and ModelBuilder; familiarity with Python/ArcPy
- Attention to Detail: Precision in data management and map creation to ensure high-quality deliverables.
--Technical Troubleshooting: Capable of identifying and resolving issues in GIS tools, data, and workflows across desktop and online environments.
--Communication & Collaboration: Strong interpersonal skills working stakeholders to understand project needs and translate them into geospatial solutions.
- Communication: Ability to effectively communicate with team members and internal customers to understand mapping and data needs and deliver appropriate solutions; also clearly convey technical concepts to team members, stakeholders, and non-GIS users
- Data Editing: Ability to accurately edit and maintain geospatial data within a versioned database environment.
- Ability to identify and resolve spatial data errors related to coordinate system misalignment.
--Analytical Thinking: Interpret complex spatial relationships and translate them into actionable insights using GIS tools and techniques.
- Ability to follow established GIS data standards, naming conventions, and QA/QC procedures to ensure consistency and interoperability.
- Problem-Solving: Ability to troubleshoot data issues and map creation challenges, offering solutions or seeking guidance when necessary
- Ability to document GIS processes, workflows, or data updates
- Adaptability: Willingness and ability to quickly learn new tools or workflows as GIS technologies evolve
- Time Management: Capable of managing multiple requests and tasks, ensuring timely completion of all duties
- Support a diverse multi-cultural workforce that reflects the community, promotes equal opportunity at all levels of public employment, and creates an inclusive work environment that enables all individuals to perform to their fullest potential free from discrimination.
Bachelor’s degree in Geographic Information Systems (GIS), Geospatial Science, Environmental Science, Urban Planning, Public Health or a closely related field. Experience using Esri/ArcGIS products. Python/ArcPy for automating workflows preferred, but not required.
