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Geospatial Data Analyst Jobs in Philadelphia, PA

Provide geospatial support to other city agencies including data development, analysis, on-line maps, ETL processes, and setup of field data collection apps. * Query, analyze and prepare statistics ...

Provide geospatial support to other city agencies including data development, analysis, on-line maps, ETL processes, and setup of field data collection apps. * Query, analyze and prepare statistics ...

Responsibilities : • Provide geospatial support to other city agencies including data development, analysis, on-line maps, ETL processes, and setup of field data collection apps. • Query, analyze ...

... modern analytical data platforms, and large-scale data warehousing technologies (e.g. BigQuery ... Experience in AdTech and GIS or geospatial data processing is a plus. * At least 18 years of age

Bachelor's degree in GIS, Geography, Geospatial Science, Environmental Science, Data Analytics, or a related field. * 2-4 years of professional GIS experience. * Proficiency with ArcGIS Pro, ArcGIS ...

Proficiency in hydrologic and hydraulic analysis/modeling is essential including HydroCAD ... Experience integrating geospatial data/GIS in the infrastructure planning and design workflow is a ...

Proficiency in hydrologic and hydraulic analysis/modeling is essential including HydroCAD ... Experience integrating geospatial data/GIS in the infrastructure planning and design workflow is a ...

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Geospatial Data Analyst information

See Philadelphia, PA salary details

$32.5K

$79K

$130K

How much do geospatial data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for geospatial data analyst in Philadelphia, PA is $78,981.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,700.00 per year, depending on experience, location, and employer.

Is a geospatial data analyst a good career?

A geospatial data analyst is a viable career option with demand in industries such as urban planning, environmental management, and transportation. The role involves working with GIS software, spatial data, and analytical skills, often requiring a bachelor's degree and proficiency in tools like ArcGIS or QGIS. Job prospects are generally stable, with opportunities for advancement and specialization.

What are the key skills and qualifications needed to thrive as a geospatial data analyst, and why are they important?

To thrive as a Geospatial Data Analyst, you need a solid background in geography, spatial analysis, and data interpretation, typically supported by a degree in geography, GIS, or a related field. Experience with GIS software like ArcGIS or QGIS, database management systems, and programming languages such as Python or SQL is highly valued, along with relevant certifications like GISP. Strong analytical thinking, attention to detail, and effective communication skills are essential soft skills for conveying complex spatial data insights to diverse stakeholders. These competencies enable you to analyze and present geographic information accurately, driving impactful decision-making in sectors such as urban planning, environmental management, and logistics.

What is a geospatial data analyst?

A Geospatial Data Analyst collects, processes, and interprets geographic data to identify patterns, trends, and relationships. They use Geographic Information Systems (GIS), remote sensing, and spatial analysis techniques to support decision-making in fields like urban planning, environmental management, and logistics. Their work may involve creating maps, developing models, and analyzing datasets from satellite imagery, GPS, and other sources. The role requires proficiency in GIS software, programming languages like Python or R, and strong analytical skills.

What are some typical projects or challenges a geospatial data analyst might work on in this role?

Geospatial Data Analysts often work on projects such as mapping trends in urban development, optimizing transportation routes, analyzing environmental changes, or supporting emergency response planning. Common challenges include integrating large and varied datasets, ensuring data accuracy and consistency, and effectively visualizing results for non-technical audiences. On a typical day, you might collaborate with urban planners, engineers, or environmental scientists, using advanced GIS tools and spatial analytics to solve real-world problems. This role provides continuous learning opportunities as new technologies and spatial data sources emerge, making it ideal for detail-oriented and analytical professionals who enjoy tackling complex spatial questions.

Is a geospatial data analyst in demand?

Yes, geospatial data analysts are in high demand across industries such as urban planning, environmental management, and transportation, due to the increasing reliance on geographic information systems (GIS) and spatial data analysis. Employers seek professionals skilled in GIS software, data visualization, and spatial analysis to support decision-making and infrastructure development.
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What job categories do people searching Geospatial Data Analyst jobs in Philadelphia, PA look for? The top searched job categories for Geospatial Data Analyst jobs in Philadelphia, PA are:
Infographic showing various Geospatial Data Analyst job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,981 per year, or $38 per hour.

GeoSpatial Developer

VRK IT Vision Inc

Mount Laurel, NJ • On-site

Contractor

Re-posted 23 hours ago


Job description

Job Summary:

The GeoSpatial Developer role involves designing, developing, and implementing geospatial solutions using Java, Python, Scala, and PySpark. W

Required Technical Skills:

·       Java, Python, Scala, PySpark Domain

Responsibilities:

·       Develop robust geospatial applications using Java, Python, Scala, and PySpark to enhance spatial data processing capabilities.

·        Collaborate with cross-functional teams to integrate geospatial solutions into existing systems and workflows.

·        Analyze complex geospatial datasets to derive meaningful insights and support decision-making processes.

·        Implement efficient algorithms for spatial data manipulation and visualization to improve user experience.

·       Ensure high-quality code by performing regular testing and debugging of geospatial applications.

·       Optimize geospatial data storage and retrieval processes to enhance system performance and scalability.

·        Provide technical guidance and support to junior developers in geospatial technologies and programming practices.

·        Stay updated with the latest advancements in geospatial technologies and incorporate them into project development.

·        Design and maintain geospatial databases to ensure data integrity and accessibility.

·        Collaborate with stakeholders to understand project requirements and deliver tailored geospatial solutions.

·       Document technical specifications and project progress to ensure transparency and effective communication.

·       Contribute to the development of innovative geospatial tools that address real-world challenges and improve societal outcomes.

·        Participate in code reviews and provide constructive feedback to enhance team productivity and code quality.

Qualifications:

·       Demonstrate proficiency in Java, Python, Scala, and PySpark for geospatial application development.

·        Possess strong analytical skills to interpret complex geospatial data and derive actionable insights.

·        Exhibit experience in designing and implementing geospatial databases for efficient data management.

·        Show ability to collaborate effectively with cross-functional teams to deliver integrated solutions.

·        Display knowledge of geospatial algorithms and visualization techniques to enhance user experience.

·        Have experience in optimizing data storage and retrieval processes for improved system performance.

·        Demonstrate capability to provide technical guidance and mentorship to junior developers.

·        Stay informed about advancements in geospatial technologies and apply them to project development.