Cystems Logic

GIS Analyst with Utility Domain Experience- Bay Area, CA

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GIS Analyst with Utility Domain Experience in Bay Area, CA, on a contract basis. Requires 8+ years of GIS experience, proficiency in ESRI tools, and strong spatial data management skills. Hybrid work location.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
October 10, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
1099 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
San Jose, CA
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🧠 - Skills detailed
#Data Management #Oracle #Visualization #Data Quality #Datasets #Data Integration #ArcMap #SQL (Structured Query Language) #Databases #Spatial Data #SQL Server #Python #Scripting #Automation
Role description
Job Description Hi, Job Title: GIS Analyst with Utility Domain Experience. Location: Bay Area, California (Hybrid) Job Type: Contract If You Are Interested And Comfortable With Job Description. Please send your updated resume with below details....Asap Your current location: Visa status: Expected rate all inc on 1099: Key Responsibilities: Analyze, interpret, and manage spatial/geographic data for utility projects. Develop, update, and maintain GIS maps, layers, and databases. Work with engineering and operations teams to support field and asset management activities. Perform spatial analysis and generate custom reports, maps, and visualizations. Ensure data quality, consistency, and accuracy across GIS platforms. Support integration of GIS with enterprise systems and other applications. Required Skills & Experience: Bachelor’s degree in Geography, GIS, Environmental Science, or a related field. 8+ years of experience as a GIS Analyst, preferably in the Utility or Oil & Gas domain. Hands-on experience with ESRI ArcGIS, ArcMap, ArcGIS Pro, and related tools. Familiarity with pipeline, asset, and network data models. Strong understanding of spatial data management, projections, and coordinate systems. Experience working with large geospatial datasets and relational databases (e.g., SQL Server, Oracle Spatial). Excellent communication and problem-solving skills. Nice to Have: Experience with Python scripting or ModelBuilder for automation. Exposure to field data collection tools (Collector, Survey123, Field Maps). Knowledge of CAD and GIS data integration. Additional Information All your information will be kept confidential according to EEO guidelines.