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Geospatial Analytics Jobs in Kansas (NOW HIRING)

Overstory

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 ...

Garmin

Senior C# Software Engineer - Map Data

Olathe, KS · 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 • Previous ...

Wilson & Company

Survey Crew Chief

Wichita, KS

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 ...

Wilson & Company

Survey Crew Chief

Salina, KS

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 ...

Harris

... 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 ...

Harris

... 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 ...

Wilson & Company

Water/Wastewater Engineer

Salina, KS · On-site

$79K - $135K/yr

Perform planning, analysis, design, and construction support for municipal drinking water and ... geospatial, and construction management services. With employees across multiple offices in the ...

Steadily

Catastrophe Risk Manager

Overland Park, KS · On-site

Experience with SQL, Python, R, or geospatial tools * Certified Catastrophe Risk Analyst (CCRA), Certified Specialist in Catastrophe Risk (CSCR), or Certified Catastrophe Risk Management Professional ...

Wilson & Company

Water/Wastewater Engineer

Salina, KS · On-site

$79K - $135K/yr

Perform planning, analysis, design, and construction support for municipal drinking water and ... geospatial, and construction management services. With employees across multiple offices in the ...

Steadily

Catastrophe Risk Manager

Overland Park, KS · On-site

Experience with SQL, Python, R, or geospatial tools * Certified Catastrophe Risk Analyst (CCRA), Certified Specialist in Catastrophe Risk (CSCR), or Certified Catastrophe Risk Management Professional ...

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All JobsGeospatial Analytics JobsGeospatial Analytics Jobs in Kansas

Geospatial Analytics information

See Kansas salary details

$19.6K

$69.1K

$108.8K

How much do geospatial analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for geospatial analytics 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 geospatial analytics?

Geospatial analytics is the process of gathering, analyzing, and interpreting data that is associated with specific locations on the Earth. It combines geographic information systems (GIS), satellite imagery, GPS data, and other spatial data sources to uncover patterns, relationships, and trends. Geospatial analytics is widely used in fields like urban planning, environmental science, disaster response, and business intelligence to make data-driven decisions based on location-specific insights.

What are the key skills and qualifications needed to thrive as a geospatial analytics professional?

To thrive in Geospatial Analytics, you need strong spatial analysis skills, proficiency in geographic information systems (GIS), and a background in geography, computer science, or related fields. Familiarity with tools such as ArcGIS, QGIS, remote sensing software, and programming languages like Python or R is typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex spatial data and presenting findings to diverse stakeholders. These skills and qualifications are important for delivering actionable insights that inform decision-making across industries such as urban planning, environmental management, and logistics.

What are some common challenges faced by professionals in geospatial analytics, and how can they be addressed?

Professionals in geospatial analytics often encounter challenges such as managing large, complex datasets, ensuring data accuracy, and integrating information from diverse sources. To address these, it's important to develop strong skills in data cleaning, validation, and familiarity with various GIS and remote sensing tools. Collaboration with IT specialists and subject matter experts can also help streamline workflows and improve data integration. Staying updated on the latest industry software and best practices is key to overcoming technical hurdles and delivering actionable insights.

What is the difference between Geospatial Analytics vs GIS Analyst?

AspectGeospatial AnalyticsGIS Analyst
Required CredentialsBachelor's in Geography, GIS, or related field; proficiency in spatial analysis toolsBachelor's in Geography, GIS, or related field; GIS certifications often preferred
Work EnvironmentData analysis, modeling, and visualization in offices or remote settingsMap creation, data management, and spatial data editing in GIS software environments
Industry UsageUsed across industries like urban planning, environmental science, and transportation for data-driven decisionsPrimarily in government agencies, consulting firms, and environmental organizations for mapping and data management

While both roles involve spatial data, Geospatial Analytics focuses on analyzing and interpreting geographic data to derive insights, whereas a GIS Analyst primarily manages and creates geographic information systems and maps. Both roles often overlap but serve different core functions within the geospatial industry.

Is geospatial analysis a good career?

Geospatial analysis is a growing field that involves using GIS software, remote sensing, and spatial data to solve real-world problems across industries like urban planning, environmental management, and transportation. It offers opportunities for technical skill development, certifications, and often requires strong analytical and programming abilities. The career can be stable and rewarding for those interested in spatial data and technology.

What do you do as a geospatial analyst?

A geospatial analyst collects, analyzes, and interprets geographic data using GIS (Geographic Information Systems) software and spatial analysis tools. They create maps, models, and reports to support decision-making in fields like urban planning, environmental management, and transportation. Strong analytical skills and knowledge of spatial data are essential for this role.

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

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

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

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

What cities in Kansas are hiring for Geospatial Analytics jobs?

Cities in Kansas with the most Geospatial Analytics job openings:

Geospatial Analytics jobs near you
Infographic showing various Geospatial Analytics job openings in Kansas as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $69,113 per year, or $33.2 per hour.

Staff Data Scientist - Wildfire

Overstory

On-site, Remote

Full-time

Posted 5 days ago

Job description

Role & Team

We are excited to add a Staff Data Scientist, Wildfire to our team. This individual will lead the scientific foundation of our Fuel Detection Model, the core engine that translates satellite and environmental data into an understanding of vegetation structure, fuel loads, and wildfire risk.
Working alongside ML engineers, and a product team, you'll define accuracy for our models, design the research and validation methods that prove it, and ensure our modeling choices are grounded in fire science and remote sensing fundamentals. This is a great opportunity for someone who is energized by open scientific questions with direct real-world stakes, and who wants their research to shape how utilities prevent catastrophic wildfires.

Time Zone Requirement: North America (NST, AST, EST, CST, MST, PST)

What You'll Do
  • Lead research into how vegetation structure, fuel conditions, and wildfire risk can be estimated from satellite, LiDAR, and environmental data across diverse geographies
  • Design rigorous validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and error analysis tied to real-world impact
  • Prototype and refine ML modeling approaches, then partner with ML engineers to translate them into production systems
  • Integrate established fire science, such as fuel models and fire behavior frameworks, with data-driven methods
  • Define scientific standards for experimentation, reproducibility, and model interpretability across the modeling organization
  • Communicate research findings clearly to engineers, product teams, customers, and the broader wildfire science community
  • Mentor ML engineers on scientific methodology and domain reasoning
Skills & Experience
  • 8+ years of applied research or data science experience in wildfire science, fire ecology, forestry, remote sensing, atmospheric science, or a related quantitative field
  • 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 Python, with tools like GeoPandas, scikit-learn, PyTorch, or XGBoost
  • Track record of designing validation studies and evaluation frameworks for environmental or geospatial models
  • Excellent communication skills, with the ability to make complex scientific work legible across technical and non-technical audience
Nice To Have
  • Familiarity with fire behavior or fuels modeling frameworks (e.g., Rothermel-based models, LANDFIRE fuel classifications)
  • Experience integrating physics-based models with ML, or with active learning and uncertainty quantification
  • Peer-reviewed publications in wildfire science, remote sensing, or environmental modeling
  • Familiarity with GCP, Vertex AI, or similar cloud-based platforms
  • Experience in remote-first or globally distributed team

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer
  • Competitive, location-specific compensation and benefits 
  • Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
  • Home office stipend, co-working and ongoing education budgets 
  • A company culture that genuinely embodies each of our core values
  • To be part of truly mission-driven work that reduces wildfires, protects earth's natural resources and helps solve our climate crisis

Apply