ZipRecruiter

Log In

1

Geospatial Analyst Jobs in Remote, OR (NOW HIRING)

SOSi

Data Scientist

OR

Knowledge of data visualization, feature selection, and geospatial analytics is required. * Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working ...

SOSi

Data Scientist

OR · On-site

Knowledge of data visualization, feature selection, and geospatial analytics is required. * Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working ...

SOSi

Data Scientist

OR · Remote

Knowledge of data visualization, feature selection, and geospatial analytics is required. * Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working ...

SOSi

Senior Data Scientist

OR

Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data. Preferred Qualifications: * Desirable but ...

SOSi

Senior Data Scientist

OR · On-site

Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data. Preferred Qualifications: * Desirable but ...

SOSi

Senior Data Scientist

OR · Remote

Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data. Preferred Qualifications: * Desirable but ...

Qualus

Project Manager

Roseburg, OR · Hybrid

Ability to analyze information, form conclusions and provide meaningful solutions. * Proficient with the use of technical applications, software, and tools. * Ability to motivate and influence others ...

Koerber

Project Manager

OR · Remote

Strong analytical and strategic thinking skills with the ability to solve complex problems using structured methodologies * Excellent communication, presentation, negotiation, and stakeholder ...

All JobsGeospatial Analyst JobsGeospatial Analyst Jobs in Remote, OR

Geospatial Analyst information

See Remote, OR salary details

$22K

$77.4K

$121.9K

How much do geospatial analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for geospatial analyst in Remote, OR is $77,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,400.00 and $79,900.00 per year, depending on experience, location, and employer.

What is a geospatial analyst?

A geospatial analyst works with geographic information systems (GIS) technology to examine aerial photography and satellite images. As a geospatial analyst, you may utilize GIS data to create maps, develop software, assist with urban planning, or inform environmental projects such as wildlife management and preservation. Your job duties include searching for data relevant to your project, preparing documentation and reports to explain your analysis, maintaining an accurate record of your work, and collaborating with your colleagues on projects.

What does a geospatial analyst do?

A Geospatial Analyst collects, analyzes, and interprets geographic data to support decision-making in various fields such as urban planning, environmental management, defense, and business. They use Geographic Information Systems (GIS), remote sensing, and spatial analysis techniques to create maps, identify patterns, and solve spatial problems. Their work helps organizations visualize and understand complex spatial relationships, enabling more informed planning and resource allocation.

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

To thrive as a Geospatial Analyst, you need strong analytical skills, spatial reasoning, and a background in geography, GIS, or a related field. Proficiency with GIS software like ArcGIS or QGIS, remote sensing tools, and data visualization platforms is typically required, along with relevant certifications such as GISP. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting complex spatial data and sharing insights with diverse stakeholders. These competencies are essential for producing accurate geospatial analyses that inform decision-making in fields like urban planning, environmental science, and defense.

What are some common challenges geospatial analysts face when integrating data from multiple sources?

Geospatial Analysts often work with datasets that come from a variety of sources, such as satellite imagery, GPS, and public databases. A common challenge is ensuring data compatibility and accuracy, as each source may use different formats, scales, or coordinate systems. Analysts need strong attention to detail to resolve discrepancies, standardize data, and maintain data quality. Collaboration with IT teams and data providers is essential for troubleshooting integration issues and ensuring smooth workflows.

What is the difference between Geospatial Analyst vs GIS Technician?

AspectGeospatial AnalystGIS Technician
Required CredentialsBachelor's degree in Geography, GIS, or related field; GIS certificationsAssociate's or Bachelor's degree; GIS certifications often preferred
Work EnvironmentField and office work, analyzing spatial data, creating mapsPrimarily office-based, data entry, map creation, database management
Employer & Industry UsageGovernment agencies, environmental firms, urban planningMunicipalities, engineering firms, utilities
Common Search & ComparisonFocuses on spatial analysis and data interpretationFocuses on data management and map production

The main difference between a Geospatial Analyst and a GIS Technician lies in their roles. Geospatial Analysts perform complex spatial data analysis and interpret geographic information, often requiring advanced skills and certifications. GIS Technicians primarily handle data entry, map creation, and database management. Both roles are essential in GIS projects but differ in scope and responsibilities.

Is geospatial analysis a good career?

Geospatial analysis is a growing field that involves using geographic information systems (GIS), remote sensing, and spatial data to solve real-world problems. It offers opportunities in sectors like urban planning, environmental management, and defense, often requiring technical skills and certifications. The career can be stable and well-paying for those with relevant expertise and experience.

Is geospatial analyst an entry-level job?

A geospatial analyst can be an entry-level position, especially for those with relevant skills in GIS software, data analysis, and spatial data management. Many entry-level roles require a bachelor's degree in geography, environmental science, or related fields, and some employers may prefer candidates with certifications or internship experience.
More about Geospatial Analyst jobs

What are popular job titles related to Geospatial Analyst jobs in Remote, OR?

For Geospatial Analyst jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Geospatial Analyst jobs in Remote, OR look for?

The top searched job categories for Geospatial Analyst jobs in Remote, OR are:

What cities near Remote, OR are hiring for Geospatial Analyst jobs?

Cities near Remote, OR with the most Geospatial Analyst job openings:

Geospatial Analyst jobs near you
Infographic showing various Geospatial Analyst job openings in Remote, OR as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, and 7% Contract. Highlights an 68% Physical, 7% Hybrid, and 25% Remote job distribution, with an average salary of $77,418 per year, or $37.2 per hour.

Data Scientist

SOSi

OR

Full-time

Re-posted 18 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
  • The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
  • The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or;
    • seven (7) years of equivalent experience in machine learning and predictive modeling.
  • Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
  • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
  • Knowledge of data visualization, feature selection, and geospatial analytics is required.
  • Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
  • Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
  • Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications:
  • Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

Apply