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Remote Lidar Data Analyst Jobs in Riverside, CA (NOW HIRING)

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing ...

Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ... Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross ...

Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for ... This position is fully remote, while occasional travel may be required. Primary Responsibilities:

Be Seen First

You can work remote from home and would be expected to come on-site at office per the schedule ... The EHR Analyst evaluates system performance, implements enhancements, manages data reporting, and ...

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

You will partner with product, engineering, analytics, ML, finance, risk, and customer-facing teams to translate needs into durable data designs. This is a hands-on, remote role where you will both ...

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Remote Lidar Data Analyst information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

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

As of Aug 17, 2026, the average yearly pay for remote lidar data analyst in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 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 Riverside, CA?

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

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

The top searched job categories for Remote Lidar Data Analyst jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Remote Lidar Data Analyst jobs?

Cities near Riverside, CA with the most Remote Lidar Data Analyst job openings:

Infographic showing various Remote Lidar Data Analyst job openings in Riverside, CA as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $86,216 per year, or $41.5 per hour.

Full-time

Re-posted 7 days ago


Job description

REMOTE - US Residents Only
We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing, and analysis; these will affect strategic corporate decisions. By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who enjoys statistics, enjoys solving issues, and enjoys using analytics to provide value, this is an amazing opportunity.

Main Activities:

By gathering, cleansing, and evaluating large datasets, find trends, patterns, and insights.

Create and update easy-to-use dashboards and reports to properly communicate findings to nontechnical stakeholders.

Analyze facts and come to decisions to support corporate strategy, process improvement, and decision-making.

Create and carry out ad hoc research to satisfy the needs of several divisions of the business.

Work with groups to create key performance indicators (KPIs) and to pinpoint critical metrics for ongoing observation.

Foretell outcomes and identify areas of expansion using statistical tools and data modeling.

Staying current with industry trends, best practices, and new technologies helps one to make sure that data analysis processes are continually being enhanced.

Automating repetitious data processes will help to simplify processes and increase efficiency.

Look for discrepancies and propose corrections to confirm data is accurate and full.

Needed Competencies:

Verified background in business analysis, data analysis, or any allied subject.

ability to effectively examine data with programs and languages including R, Python, SQL, or Excel.

skilled in the application of Tableau and Power BI among data visualization tools.

Mastery in statistical techniques and data modeling.

ability to succinctly and clearly show complex data results to viewers ranging in knowledge from professionals to laypeople.

Superior analytical and problem-solving skills; exacting.

competent of properly scheduling one's time, creating priorities, and finishing projects on schedule.

Work experience in a quantitative field like mathematics, statistics, computer science, economics, etc. or education in such areas.

Our offerings comprise:

a workplace supportive of innovative ideas and group projects.

Prospects for lifelong learning and professional development.

Reasonably affordable benefits and flexible working schedules.

a chance to greatly influence things by basing decisions on statistics.