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Remote Lidar Data Analyst Jobs (NOW HIRING)

Elder Research

Data Analyst (Remote)

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Elder Research

Data Analyst (Remote)

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Data Ideology LLC

Data Analyst

Pittsburgh, PA · On-site +1

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

MM International

Data Analyst - Remote

New York, NY · Remote

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

NATIONMIND LLC

Data Analyst

Houston, TX · Remote

$40 - $45/hr

Houston, TX or US Remote Duration: 6-12 months Skills: Data Analytics & Insights : ignio AIOps Experience Required: 6-8 Years Role Description: Data Analyst Strong experience in data analysis ...

NATIONMIND LLC

Data Analyst

Houston, TX · Remote

Houston, TX or US Remote Duration: 6-12 months Skills: Data Analytics & Insights : ignio AI Ops Experience Required: 6-8 Years Role Description: Data Analyst * Strong experience in data analysis ...

RightNow Media

Data Analyst- Remote

Mckinney, TX · On-site +1

The Data Analyst helps RightNow Media turn data into trusted, consistent, and actionable insight ... Schedule Full-time, Monday through Friday Work Location Fully remote **Please note we will not ...

Right Skale, Inc.

Data Analyst

Data Analyst - Long Term Contract - Remote (US-based) We're seeking a Data Analyst to support the People Development Operations team by automating reporting, streamlining data processes, and creating ...

Apex Informatics

Data Analyst

Data Analyst Location: Remote Duration: 6 Months (Contract) Demonstrated ability to effectively gather requirements, probe for deeper understanding, and translate deep technical concepts to non ...

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Remote Lidar Data Analyst information

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

As of Jun 21, 2026, the average yearly pay for remote lidar data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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, and why are they important?

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.
More about Remote Lidar Data Analyst jobs
What cities are hiring for Remote Lidar Data Analyst jobs? Cities with the most Remote Lidar Data Analyst job openings:
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Remote Lidar Data Analyst jobs near you
Infographic showing various Remote Lidar Data Analyst job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst (Remote)

Data Analyst (Remote)

Elder Research

Remote

Full-time

PTO

Posted 16 days ago

Job description

Job Title: Data Analyst
Work Location: Remote (preference for candidates located in the National Capital Region - DMV)
Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past 4 years)
Position Overview:
We are looking for an experienced Data Analyst to join our team supporting U.S. Customs and Border Protection. As a Data Analyst, you will support robust and repeatable data manipulation, large scale infrastructure for data ingestion, and stunning data visualization for custom client applications.
Role Responsibilities:
  • Responsible for data mining, data preparation, and reporting.
  • Prepare and conduct analyses and studies, needs/gaps assessments.
  • Applies knowledge to determine the accuracy and reasonableness of the data, recommendations, and solutions proposed.
  • Documents and summarizes the results and develops and recommended solutions to the customer's problems.
  • Prepares big data, implements data models developed by others, and provides database support for customer solutions.
  • Key member of a data science project team, supporting data scientists or other consultants in the performance of assigned tasks.

Requirements:
  • Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least two (2) years of experience applied data science research or big data analytics.
  • Bachelor's Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline A Master's degree may be substituted for up to two (2) years of relevant experience. A PhD may be substituted for experience.
  • Knowledge of data mining methods, databases, data visualization and machine learning.
  • Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA)
  • Experience implementing NLP concepts including preprocessing (stemming, etc.), TF-IDF, Named Entity Recognition, and LLMs.
  • Ability to communicate analysis techniques, concepts, and products.
  • Ability to develop data-driven analysis and reports based on data visualizations and data models.
  • Strong SQL skills, and ability to identify issues with data.
  • Experience with Qlik.
  • Experience with Tableau.
  • Experience with PowerBI tools.
  • Familiarity with Databricks or similar cloud-based distributed database technologies
  • Understanding of database and database design
  • Demonstrated experience with cleaning, management, optimizing performance and processing large volumes of data.
  • Demonstrated experience within an AWS environment (AWS certifications preferred)
  • Familiarity with industry best-practices for software-hardware optimization when processing large sets of data.
  • Ability to travel to and work on site at clients as needed.
  • Excellent communication skills both verbal and written.

Preferred Experience and Skills:
  • Expertise with Qlik.
  • Experience with machine learning, with statistical modeling, time-series forecasting and/or geospatial analytics.
  • Experience with Hadoop, Spark or other parallel storage/computing processes.

Why apply to this position at Elder Research?
  1. Competitive Salary and Benefits
  2. Important Work / Make a Difference: supporting Customs and Border Protection in their efforts to protect the United States.
  3. Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract.
  4. Remote Work: in an industry of declining remote work opportunities.
  5. People-Focused Culture: we prioritize work-life-balance and provide a positive, supportive work environment as well as opportunities for professional growth and advancement.
  6. Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.

About Elder Research, Inc
People Centered. Data Driven
Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.
Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.
Elder Research believes in continuous learning and community - each week the entire company attends a "Tech Talk" and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Elder Research is a Government contractor and many of our positions require US Citizenship.

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