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Remote Lidar Data Analyst Jobs in Florida (NOW HIRING)

Typical responsibilities include detailed analysis and review of topographic lidar data ... Bachelor's degree in Geography, GIS, or related field * 5+ years of experience in the GIS/Remote ...

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Senior Fraud Analyst actively ... The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze ...

As a Global Marketing Data Analyst, you'll play a critical role in helping teams understand what ... This is a remote role with up to 20% travel. This job posting is anticipated to close on 08/01/2026.

Nymbus is a remote-first company. Occasional travel may be required for client engagements, team ... The Data Migration Analyst supports the complete lifecycle of data migration for banks and credit ...

The individual will support advanced remote sensing exploitation functions through detailed technical data analysis and through the development and improvement of techniques and procedures for the ...

Remote Job Type: Contract Job Summary: We are looking for an experienced Business Analyst to drive ... Data Analysis & Reporting: Gather, interpret, and visualize data to provide insights for strategic ...

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Remote Lidar Data Analyst information

How do remote lidar data analysts typically collaborate with other team members when working on large-scale mapping projects?

Remote Lidar Data Analysts often work closely with GIS specialists, project managers, and software engineers to process and interpret Lidar data for mapping and analysis. Collaboration is typically facilitated through digital platforms, such as shared cloud storage, project management tools, and video conferencing. Regular check-ins and clear documentation help ensure seamless integration of data and alignment on project goals. Effective communication skills are essential, as analysts may need to explain technical findings to non-technical stakeholders and coordinate with field teams collecting data.

What is a remote lidar data analyst?

A Remote Lidar Data Analyst is a professional who processes, analyzes, and interprets data collected by Light Detection and Ranging (LiDAR) sensors, often working remotely. They use specialized software to create detailed 3D maps and models from point cloud data, supporting various industries such as environmental science, urban planning, and engineering. Their responsibilities include cleaning and classifying raw LiDAR data, ensuring its accuracy, and producing actionable insights or reports for clients or stakeholders. Remote LiDAR Data Analysts need strong technical skills in geospatial analysis, data management, and often programming. Working remotely, they collaborate with team members online and deliver results through digital platforms.

What is the difference between Remote Lidar Data Analyst vs Remote GIS Analyst?

AspectRemote Lidar Data AnalystRemote GIS Analyst
Required CredentialsDegree in Geospatial, Geography, or related field; GIS certifications helpfulDegree in Geography, Urban Planning, or related; GIS certifications common
Work EnvironmentPrimarily working with Lidar point cloud data, software like LAStools, ArcGISWorking with spatial data, maps, GIS software, and spatial analysis tools
Industry UsageUsed in surveying, mapping, infrastructure, environmental projectsApplied in urban planning, resource management, environmental analysis

Remote Lidar Data Analysts focus on processing and analyzing Lidar point cloud data, while Remote GIS Analysts work with broader spatial datasets and mapping. Both roles require geospatial knowledge and GIS skills, but Lidar Analysts specialize in 3D data processing, making their work more data-specific within the geospatial industry.

What are the key skills and qualifications needed to thrive as a remote lidar data analyst?

To thrive as a Remote Lidar Data Analyst, a strong background in geospatial analysis, remote sensing, and data processing—often supported by a relevant degree in geography, GIS, or environmental science—is essential. Proficiency with Lidar processing software (such as LAStools, Terrasolid, or ArcGIS), GIS platforms, and programming languages like Python are typically required. Attention to detail, problem-solving abilities, and effective communication skills help analysts interpret complex datasets and collaborate with multidisciplinary teams. These skills and qualities are crucial for producing accurate geospatial insights that inform decision-making in fields like mapping, forestry, and urban planning.
What are the most commonly searched types of Lidar Data Analyst jobs in Florida? The most popular types of Lidar Data Analyst jobs in Florida are:
Infographic showing various Remote Lidar Data Analyst job openings in Florida as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 100% Remote job distribution.

Topobathymetric Lidar Geospatial Analyst II

GeoSearch

Tampa, FL • Remote

Full-time

Posted 17 days ago


Job description

Topobathymetric Lidar Geospatial Analyst II


Job Description

Geospatial Analyst III in Fairfax, VA or Tampa, FL. Remote positions will be considered dependent on experience. This is an excellent career opportunity for an individual to join a team of professionals while working in a multidisciplinary consulting and engineering firm. The firm succeeds through the individual and collaborative skills of its people therefore, we offer opportunities for professional growth while working with and applying the latest technology. Typical responsibilities are to work on GIS/IT and Remote Sensing-related projects for state and federal clients across the US. Overall responsibility includes working on a team performing automated and manual processing of point cloud data.


Responsibilities

Position requires experience in analysis and review of topographic lidar data, topobathymetric data, vector data (2D and 3D), Digital Elevation Models (DEMs), Digital Surface Models (DSMs), imagery, and derivative products for state, federal, and private clients across the US. Experience with creating automated lidar classification algorithms (TerraSolid Products) preferred. Strong candidates will also have a good, conceptual understanding of fundamental remote sensing concepts and geospatial processes for various products, e.g. how lidar sensors work, basic GPS ground survey procedures, airborne lidar trajectory processing, interaction of light and water for bathymetry applications, and ortho-imagery processing.

  • Working with the initial processing and data classification of multiple topographic and bathymetric lidar projects.
  • Creating Scripts/Models/Macros in multiple sensor platforms
  • Work with the Product Line Lead to assist in the execution of projects, on time and within budget.
  • Data Management and Handling: Planning and monitoring production data, management needs and working with IT and Operations to ensure adequate resources are available; Ensuring data management protocols are met including the use of proper files and formats as well as file locations, storage, and backups.
  • Perform work that appropriately follows all quality control steps and practices are implemented throughout processes to ensure deliverables meet client specifications. 
  • Provide feedback and support for developing and/or updating SOPs as necessary.
  • Works with production staff to support process improvements; working with other Technology/Process Improvement teams to review best practices to enhance product line, gain efficiencies, and improve quality.
  • Support improvements to automation of the production and QC process through providing technical guidance and ideas 
  • Task Management; Problem resolution; Report writing; Collaboration
  • Quality Assurance, documentation and providing feedback.


Required Skills and Experience

  • Bachelor's degree in Geography, GIS, or related field.
  • 3+ years of experience in the GIS/Remote Sensing Field or equivalent combination of education and experience with a focus on point cloud classification working with Lidar and producing other Elevation data sources.
  • Experience in Lidar processing and elevation model creation/manipulation, hydrography, or other remote sensing processing, development, and QA/QC.
  • An understanding of GIS and Lidar data and concepts including a strong knowledge of various raster and vector data types, coordinate systems, projections, and datums
  • Understanding of Lidar production workflow and being able to explain the conceptual basis of Lidar acquisition, processing, and deliverable creation
  • The ability to analyze point clouds and various geospatial data layers derived from point cloud data.
  • Working experience with Terrasolid Products and MicroStation
  • In-depth knowledge of ESRI’s products including ArcGIS 10x, ArcPro.
  • Proficiency in basic computer applications, especially MS Office (Word, Excel, and Access).
  • Ability to handle multiple priorities under tight schedules as required
  • Strong verbal and written communication skills.


Beneficial Skills & Experience

  • Creative problem-solving skills.
  • GISP Certification, ASPRS certifications in Lidar or other Remote Sensing technologies a plus
  • LASTools, LP360, Global Mapper, QGIS experience a plus.
  • Working knowledge of Python and/or other programming languages a plus.
  • GDAL Tools, and command line applications highly desirable
  • ArcGIS Data Review and Production Editing experience a plus.
  • Specific experience working with Riegl topobathymetric sensors and Optech CZMIL topobathymetric sensors.
  • Experience creating scripts/models/macros in multiple GIS/remote sensing platforms
  • Experience with national elevation programs, such as NOAA’s Coastal Mapping Program, USGS 3DEP, and/or USGS 3DHP
  • Experience with industry standards and specifications, e.g., ASPRS Positional accuracy Standards for Digital Geospatial Data, USGS Lidar Base Specifications


Additional Requirements:

  • US Citizen
  • Must have a valid driver’s license, good driving record and ability to pass a driving record background check.