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Remote Lidar Data Analyst Jobs in Raleigh, NC (NOW HIRING)

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

Showing results 21-40

Remote Lidar Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do remote lidar data analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote lidar data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

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 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.

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 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.

Is it possible to work remotely as a remote lidar data analyst?

Remote lidar data analysts can often work from home, as the role primarily involves analyzing spatial data using specialized software and tools that can be accessed remotely. Many companies offer remote positions for this role, especially if the analyst has strong technical skills and reliable internet connectivity. However, some positions may require on-site work for data collection or collaboration, so job requirements vary by employer.

What are popular job titles related to Remote Lidar Data Analyst jobs in Raleigh, NC?

For Remote Lidar Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Lidar Data Analyst jobs in Raleigh, NC look for?

The top searched job categories for Remote Lidar Data Analyst jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Lidar Data Analyst jobs?

Cities near Raleigh, NC with the most Remote Lidar Data Analyst job openings:

Data Engineer

Raleigh, NC • Remote

$50/hr

Contractor

Re-posted 11 days ago


Job description

Data Analysts , Sr Data Engineers , Lead Data Architects
Remote EST Hours
DURATION
6 months+
PAY RATE
Market RATE $50 Hour 
GCP Data Architect with Clean room and retail media Analytics - Mandatory Experience 

INTERVIEW TYPE  : Video
VISA RESTRICTIONS
 
REQUIRED SKILLS
6–8 years in data engineering or analytics 
Strong SQL and Python skills 
Experience in Python, SQL, and GCP tools (BigQuery, Dataflow, Composer) 
Exposure to clean rooms and retail media analytics 
Bonus: Familiarity with Databricks, Kafka, or campaign reporting tools