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Geospatial Analyst Jobs in Kansas (NOW HIRING)

Catastrophe Risk Modeler

Kansas City, KS ยท On-site +1

$125K - $162K/yr

The Catastrophe Risk Modeler performs catastrophe modeling, data analytics, and geospatial analysis to support state insurance regulators in understanding and managing natural catastrophe risk. This ...

Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery and large-scale environmental datasets * Strong statistical modeling and machine learning skills in ...

Senior C# Software Engineer - Map Data

Olathe, KS ยท On-site

$115K - $152K/yr

... and Outdoor products, focusing on geospatial data processing and system reliability ... analysis, or data mining techniques to derive insights or features from large datasets โ€ข Previous ...

Sr. Manager, Real Estate Strategy

Newton, KS ยท On-site

$136K - $155K/yr

Support teams throughout the organization via ad-hoc mapping, geospatial analysis and data requests * Maintain various location databases for use in mapping platforms, analysis, and tracking ...

Support staff (PLS, CAD and geospatial technicians) will assist with project understanding and ... Familiarity with surveying software for data processing and analysis. Qualifications: * Minimum of ...

Support staff (PLS, CAD and geospatial technicians) will assist with project understanding and ... Familiarity with surveying software for data processing and analysis. Qualifications: * Minimum of ...

... geospatial solutions. * Manage development tasks, track progress, and document changes using Jira and GitHub. * Analyze and resolve complex spatial data and software issues to support the stability ...

... geospatial solutions. * Manage development tasks, track progress, and document changes using Jira and GitHub. * Analyze and resolve complex spatial data and software issues to support the stability ...

About the Role The Business Analyst supports the analysis, testing, implementation, and continuous improvement of technology solutions across Aria Care Partners. This role serves as a liaison between ...

About the Role The Business Analyst supports the analysis, testing, implementation, and continuous improvement of technology solutions across Aria Care Partners. This role serves as a liaison between ...

About the Role The Business Analyst supports the analysis, testing, implementation, and continuous improvement of technology solutions across Aria Care Partners. This role serves as a liaison between ...

Business Analyst

Kansas City, MO ยท On-site

$66K - $83K/yr

Business Analyst REQUSITION: ACC002B DEPARTMENT: Power and Revenue Accounting - Topeka General Office or 801 Charlotte LOCATION: Topeka, KS Kansas City, MO PAY RANGE: Business Analyst I: $54,400 ...

Business Analyst

Mission, KS ยท On-site

$65 - $90/hr

We're a small, fast-moving healthcare data analytics company looking for a curious, detail-oriented Business Analyst to help turn the needs of our clients and internal teams into clear requirements ...

Business Analyst

Kansas City, MO ยท On-site

$66K - $83K/yr

Business Analyst REQUSITION: ACC002B DEPARTMENT: Power and Revenue Accounting - Topeka General Office or 801 Charlotte LOCATION: Topeka, KS Kansas City, MO PAY RANGE: Business Analyst I: $54,400 ...

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Showing results 1-20

Geospatial Analyst information

See Kansas salary details

$19.6K

$69.1K

$108.8K

How much do geospatial analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for geospatial analyst in Kansas is $69,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,600.00 and $71,300.00 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.

What are popular job titles related to Geospatial Analyst jobs in Kansas?

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

What job categories do people searching Geospatial Analyst jobs in Kansas look for?

The top searched job categories for Geospatial Analyst jobs in Kansas are:

What cities in Kansas are hiring for Geospatial Analyst jobs?

Cities in Kansas with the most Geospatial Analyst job openings:

Infographic showing various Geospatial Analyst job openings in Kansas as of August 2026, with employment types broken down into 83% Full Time, and 17% Temporary. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $69,113 per year, or $33.2 per hour.

Catastrophe Risk Modeler

Naic

Kansas City, KS โ€ข On-site, Remote

$125K - $162K/yr

Full-time

Posted 9 days ago


Key responsibilities

  • Execute catastrophe modeling projects by identifying data and models, selecting methodologies, establishing assumptions, and managing technical timelines.

  • Perform complex catastrophe model analyses involving multiple vendor platforms, evaluate differences among models, and conduct sensitivity testing and uncertainty analysis.

  • Prepare and validate exposure data, configure and run catastrophe models, analyze outputs, and communicate model limitations.


Job description

Job Description:

The Regulatory Affairs division of the National Association of Insurance Commissioners (NAIC) has an exciting opportunity for a Catastrophe Risk Modeler. The Catastrophe Risk Modeler performs catastrophe modeling, data analytics, and geospatial analysis to support state insurance regulators in understanding and managing natural catastrophe risk. This position uses commercial catastrophe models, insurance and notional exposure datasets, and other analytical tools to help states prioritize resilience initiatives, mitigation programs, grant funding, and other investments based on hazard, exposure, vulnerability, mitigation potential, and expected loss reduction. This is a full-time remote position. Residency within the United States is required.

Responsibilities Include

  • Works with the Sr. Catastrophe Risk Modeler and Sr. Manager of CAT Modeling Center of Excellence to execute assigned catastrophe modeling projects, including identifying appropriate data and models, selecting methodologies, establishing assumptions, designing quality-control procedures such as documentation and validation/peer-review, managing technical timelines, and communicating results and limitations.
  • Executes complex catastrophe model analyses involving multiple vendor platforms, perils, geographic regions, portfolios, or regulatory applications. Evaluates differences among models and scenarios through sensitivity testing, uncertainty analysis, benchmarking, and reconciliation of results.
  • With guidance from the Sr. Catastrophe Risk Modeler, prepares and validates exposure data, configures and executes catastrophe model runs, conducts quality assurance and reasonableness reviews, analyzes model outputs, and articulates model limitations.
  • Works on the development of analytical tools, interactive dashboards, maps, tables, charts, and other visual products using platforms such as Tableau, Power BI, and ArcGIS.
  • Assists in delivering regulator education, including introductory programs such as CAT 101 and advanced training on model components, assumptions, uncertainty, validation, and regulatory applications.
  • Assists in evaluating new catastrophe model versions, data sources, analytical tools, artificial intelligence applications, and emerging methodologies.

Minimum Education and/or Experience Required

  • Bachelor's or master's degree in a quantitative or technical field such as applied mathematics, actuarial science, statistics, data science, insurance, risk management, engineering, physics, atmospheric science, geography, geospatial science, or a related discipline is required and 5+ years of experience in delivering complex catastrophe modeling, data analysis, geospatial analysis, or applied risk analytics, including significant experience within property insurance, reinsurance, catastrophe risk, or a closely related field or an equivalent combination of education and experience.
  • Hands-on experience with at least one recognized commercial catastrophe modeling platform, such as Moody's RMS, Verisk, or another comparable vendor platform, is required. Experience should include preparing model data, configuring and executing analyses, evaluating results, and communicating model assumptions and limitations.
  • Proficiency with Microsoft Excel, SQL, GIS tools (e.g., ArcGIS), cloud analytics, and at least one programming or statistical language, such as Python, R, or SAS, is required.
  • Strong written and verbal communication skills are required, including the ability to explain complex catastrophe modeling concepts and analytical conclusions to regulators, executives, technical experts, and nontechnical audiences.
  • Knowledge of emerging risks, including physical climate risk, casualty catastrophe risk, or cyber catastrophe risk, is beneficial.

Preferred Experience

  • Relevant professional credentials-such as CPCU, CEEM, CCRA, CSCR, CCRMP, ARM, ARe, or actuarial designation.

Systems & Technology Requirements

  • Microsoft Office Suite
  • GIS tools
  • At least one programming or statistical language

Travel

This position requires regular, out-of-state, overnight travel in support of member meetings and events throughout the year. Must be able and willing to travel to locations throughout the United States and with such frequency as necessary to meet the needs of this position and the Association. Estimated travel is up to 30%.

Compensation

$125,000 - $162,000 commensurate with education and experience.

Sponsorship

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Interested in learning more about the amazing benefits the NAIC offers? Visit our Benefits page for more information.

The NAIC is proud to be an Equal Opportunity Employer

Applicants for all positions are considered without regard to age, race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin or ancestry, marital status, pregnancy, genetic information, military or veteran status, disability, or any other basis protected by applicable law.