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Spatial Analysis Jobs in Wisconsin (NOW HIRING)

WI ยท On-site

What We Do We're a no-nonsense AI lab building production-grade visual and spatial AI ... sports analytics, gaming, industrial design, and more. We've doubled revenue in a year. We're ...

WI ยท On-site

$83.40 - $137.10/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Position Overview Technical Sales Specialist - Spatial Biology Capital Equipment and Services * Pay ... Critical thinking and analytical skills. * Attention to detail and strong organizational abilities.

WI ยท On-site

$90 - $120/hr

As a Technical Lead Expert specializing in GIS, you'll be at the forefront of spatial data ... data collection, analysis, and visualization. * Railway Network Mapping: Collaborate with ...

Compile, integrate, edit, and maintain spatial data from a wide variety of sources for inclusion in ... Analyze and correlate data from various sources to be linked to features. * Assist with ...

Compile, integrate, edit, and maintain spatial data from a wide variety of sources for inclusion in ... Analyze and correlate data from various sources to be linked to features. * Assist with ...

... spatial data along with utilizing paper and web-based medium to create multi-purpose maps ... Make critical decisions using analytical skills, experience, and input from others Build and ...

PostDoctoralResearchAssociate-1

Downing, WI ยท On-site

$60K - $70K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... sensing, data analysis, and systemidentification techniques to assess the condition of ... Experience with statistical and machinelearning techniques applied to timeseries or spatial data.

Showing results 41-60

Spatial Analysis information

See Wisconsin salary details

$101.4K

$124.3K

$154.4K

How much do spatial analysis jobs pay per year?

As of Aug 16, 2026, the average yearly pay for spatial analysis in Wisconsin is $124,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $129,200.00 per year, depending on experience, location, and employer.

What is a spatial analysis?

A Spatial Analysis job involves using geographic information systems (GIS), remote sensing, and statistical techniques to analyze spatial data and identify patterns, relationships, and trends. Professionals in this field work in industries such as urban planning, environmental science, transportation, and public health to support decision-making and problem-solving. They often use mapping software, data visualization, and programming languages like Python or R to process and interpret spatial data efficiently.

What types of projects and responsibilities can I expect in a spatial analysis role?

As a Spatial Analysis professional, you'll typically work on projects involving the collection, processing, and interpretation of location-based data to support initiatives like urban planning, environmental assessment, or infrastructure development. Your daily responsibilities may include creating detailed maps, analyzing spatial trends, and presenting actionable insights to other departments or clients. Collaboration with planners, engineers, and decision-makers is common, requiring the ability to adapt your findings for both technical and non-technical audiences. This role offers variety and the opportunity to see your work directly inform real-world projects, providing a strong foundation for career growth in areas such as GIS management, data science, or project leadership.

What are the key skills and qualifications needed to thrive in a spatial analysis position?

To succeed in Spatial Analysis, you need a strong background in geography, cartography, data analysis, and statistics, often supported by a relevant degree or certification such as GIS (Geographic Information Systems). Familiarity with technical tools like Esri ArcGIS, QGIS, spatial databases, and programming languages such as Python or R is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret data and share insights with diverse stakeholders. These abilities are crucial for accurately analyzing spatial data to inform decision-making across urban planning, environmental management, and commercial projects.

Is a spatial analysis in demand?

Spatial analysis is in high demand across industries such as urban planning, environmental management, and transportation, as organizations increasingly rely on geographic data to inform decisions. Professionals skilled in GIS software, data visualization, and spatial statistics are sought after, with job growth expected to continue as data-driven approaches expand.

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, often requires proficiency in tools like ArcGIS or QGIS, and can provide stable employment with competitive salaries. Overall, it is considered a promising career for those interested in spatial data and analysis.

What are popular job titles related to Spatial Analysis jobs in Wisconsin?

For Spatial Analysis jobs in Wisconsin, the most frequently searched job titles are:

Infographic showing various Spatial Analysis job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,291 per year, or $59.8 per hour.

Full Stack Developer - Imagery and LiDAR Mapping

Cyclomedia Technology Inc

Middleton, WI โ€ข On-site

Full-time

Re-posted 4 hours ago


Job description

Job Summary

We are excited to bring on a new Full Stack Developer and are looking for someone to help us develop and maintain our internal software!

As a Full Stack Developer at Cyclomedia, you will play a key role in developing cutting-edge solutions for processing and delivering geospatial data to clients. You will work on a range of exciting projects that leverage 3D spatial data, imagery, LiDAR, and GIS technologies. We are seeking a dedicated and skilled developer who is passionate about transforming data into valuable visualizations and data insights and who can contribute to our mission of delivering geospatial value to our clients.

If you are proficient in C# and .NET and have at least 2 years of software development experience, this role is one for you!

Job Duties

  • Design, develop, and maintain end-to-end software solutions for processing imagery, LiDAR, and other geospatial data. Includes:
    1. High performance 2D/3D Rendering.
    2. Low latency data retrieval from cloud storage and databases.
    3. Responsive UX for data interaction.
    4. Automated algorithms for feature extractions.
  • Collaborate with cross-functional teams to understand client requirements and designs that meet their needs.
  • Work on both the front-end and back-end to ensure seamless and secure integration of data and visualization.
  • Develop web-based and desktop applications for data visualization and analysis.
  • Optimize software performance and scalability.
  • Troubleshoot, debug, and resolve software issues to ensure robust and reliable applications.
  • Stay updated on emerging technologies and industry best practices.
  • Collaborate with team members to achieve project goals.

Skills and Experience

  • Bachelor’s or Master’s degree in computer science, Software Engineering, or a related field.
  • Proven experience as a Full Stack Developer in software development.
  • Strong server-side development skills with languages like .NET, Python, or Node.js.
  • Knowledge of databases (SQL and NoSQL), API development, and microservices architecture.
  • Experience with Unity3d, 3D spatial data, and/or GIS data is a significant bonus.
  • Experience with Computer Vision and ML techniques is a plus.
  • Strong problem-solving and debugging skills.
  • Excellent communication and teamwork abilities.
  • Self-motivated, proactive, and eager to learn and adapt to new technologies.
  • Ability to work with multiple development teams across multiple geographical regions.