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Remote Sensing Analyst Jobs (NOW HIRING)

Courseadvisor

Remote Sensing Technicians

Manhattan, NY · Remote

$29.83K/yr

Develop specialized computer software routines to customize and integrate image analysis. Collect remote sensing data for forest or carbon tracking activities involved in assessing the impact of ...

Riverside Research

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

You will be working with a team of Riverside Research, government, military, and contractor personnel to apply experience with intelligence analysis and remote sensing technologies to answer specific ...

Mercor

Geospatial Scientist - Remote Sensing

New York, NY · Remote

$64 - $75/hr

Position: Geospatial Analyst -- Satellite Analysis Type: Contract Compensation: $64-$75/hour ... Experience with remote sensing methodologies and GIS analysis . * Background at organizations like ...

BOOZ, ALLEN & HAMILTON, INC.

GIS Analyst

Dahlgren, VA · Remote

$77.50K - $176K/yr

As a geospatial and remote sensing analyst at Booz Allen, you'll work with a team of analysts, engineers, and industry subject matter experts to extract meaning and context from a variety of vector ...

Booz Allen Hamilton

GIS Analyst

Dahlgren, VA · Remote

$77.50K - $176K/yr

As a geospatial and remote sensing analyst at Booz Allen, you'll work with a team of analysts, engineers, and industry subject matter experts to extract meaning and context from a variety of vector ...

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How much do remote sensing analyst jobs pay per year?

As of May 30, 2026, the average yearly pay for remote sensing analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Sensing Analyst, and why are they important?

To thrive as a Remote Sensing Analyst, you need a strong background in geospatial science, data analysis, and image interpretation, typically supported by a degree in geography, environmental science, or a related field. Familiarity with GIS software (such as ArcGIS or QGIS), remote sensing tools (like ENVI or ERDAS Imagine), and programming languages (such as Python or R) is usually required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately analyzing earth observation data and supporting informed decision-making across industries like agriculture, environmental management, and urban planning.

What are some common challenges faced by Remote Sensing Analysts when working with large datasets, and how are they typically addressed?

Remote Sensing Analysts often encounter challenges managing and processing large volumes of satellite or aerial imagery, which can require significant computing resources and specialized software. To address these issues, analysts typically utilize cloud-based platforms, high-performance computing systems, and automated workflows to efficiently handle and analyze big data. Collaborating closely with data engineers and GIS specialists is also common, ensuring data is properly pre-processed and integrated for analysis. Staying updated with the latest advancements in remote sensing technology and software can further streamline these tasks and improve accuracy.

What is a Remote Sensing Analyst?

A Remote Sensing Analyst is a professional who uses satellite or aerial imagery to collect, process, and interpret data about the Earth's surface. They apply specialized software and analytical techniques to extract meaningful information for various applications, such as environmental monitoring, urban planning, agriculture, and disaster management. Remote Sensing Analysts often work with Geographic Information Systems (GIS) and collaborate with scientists, engineers, and policymakers to support decision-making processes. Their work is essential in tracking changes in land use, vegetation, climate, and natural resources over time.
What cities are hiring for Remote Sensing Analyst jobs? Cities with the most Remote Sensing Analyst job openings:
What states have the most Remote Sensing Analyst jobs? States with the most job openings for Remote Sensing Analyst jobs include:
Infographic showing various Remote Sensing Analyst job openings in the United States as of May 2026, with employment types broken down into 38% Full Time, 5% Part Time, and 57% Contract. Highlights an 100% Physical job distribution, with an average salary of $73,261 per year, or $35.2 per hour.
LiDAR or Remote Sensing Analyst

LiDAR or Remote Sensing Analyst

Strategic Staffing Solutions

Saint Louis, MO • Remote

Other

Posted 9 days ago

Job description

Job Description Strategic Staffing Solutions is currently looking for a LiDAR Sensing Analyst, a W2 contract opportunity with one of our clients. Candidates should be willing to work on our W2 ONLY. No C2C!.

Job Title: LiDAR/Remote Sensing ANALYST Role Type: W2 only, no C2C, no 1099 Duration: 6-month contract Location: St. Louis, Missouri Schedule: On-site 10-hour workday, 4 days a week Occasional Storm/Emergency support Education: Bachelor's degree is required Position Summary: The LiDAR or Remote Sensing Analyst is responsible for creation of RAW spatial data including but not limited to point clouds, orthomosaic imagery, and 3D models / Digital Twins. A LiDAR or Remote Sensing Analyst will be responsible for further processing of created RAW data including but not limited to classification, geolocation, spatial analysis, image analysis, and other required processes to fulfill customer requested deliverables.

Prior knowledge of industry software: Leica Register \ Register 360, Phoenix LiDAR Spatial Explorer, Novatel Inertial Explorer, Pix4d Matic, Global Mapper Pro, ESRI ArcGIS Pro, ArcGIS Enterprise, Trimble VRS, Trimble Access, PLS-CAD, and others. Analysts will perform geospatial data processing, creating various digital twins/models, 3D datasets, point clouds, PLS-CAD models, orthophotos, and infrared image analysis and continuously improve processes to support growing geospatial program requirements. Analyst will work to keep field equipment operational and work environments organized for all programs, including 3D data capture, drone operations, and LiDAR collection operations.

Key responsibilities: Gather, organize, and process geospatial data captured by remote sensing or other medium. QA/QC field datasets for accuracy and completeness and assure quality deliverables as related to remote sensing processes. Produce and maintain various 3D models using Leica (.lgsx) or other formats

Create delivery datasets for pre/post LiDAR data collection for various stakeholders under the direction of senior staff and as needed, including reports, geospatial image products (orthophotos, etc.) and other data packages. Continuously work to integrate new processes into the client's Geospatial framework. Develop and apply geospatial solutions to meet customer requests Diagnose and troubleshoot problems with geospatial data and related software Prepare field equipment for missions, including LiDAR and related equipment, drones, survey devices, cleaning and packing targets, maintaining production facility, help with loading and kitting field vehicles for missions, help with unloading equipment and inventory after missions, etc

Support potential 365/24/7 after-hours work for emergency callouts. Be available for periodic, infrequent field visits, driving own vehicle to locations in service territory Assist in the development and delivery of training for users Educational Qualifications: A bachelor's degree from an accredited college or university in GIS, Engineering Technology, Information Technology, or a related technical field is required. One or more years of experience with Leica, PLS-CAD, and Trimble surveying applications preferred.

Part 107 UAS certification acquired or the ability to obtain it is a plus. In addition to the above qualifications, the successful candidate will demonstrate Proven analytical skills, able to make sound decisions with ambiguous information and possess a high level of organizational skills; creative self-starter with strong interpersonal skills - able to work effectively as a team and with various stakeholders at all levels of the organization; excellent communication skills, including presentation, written, and verbal. Must be able to sit/stand for long periods and interact with a computer for long periods of time.

"Beware of scams. S3 never asks for money during its onboarding process.".

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