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Remote Lidar Data Analyst Jobs (NOW HIRING)

Data Analyst

Grand Rapids, MI · Remote

$90K - $110K/yr

Location: 100% Remote Position Summary: We are seeking a detail-oriented and technically skilled Data Analyst to support business intelligence, reporting, and data-driven decision-making across the ...

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

This is a remote role strictly for candidates within the United States. Position Overview: As a Data Analyst at Orionyx Engineering Ltd. , you will play a pivotal role in transforming data into ...

Data Analyst - 100% Remote We are seeking a Senior Data Analyst with a strong analytical mindset and a passion for improving transportation and transportation safety. This role involves working on ...

Senior Data Analyst (Remote)

$88K - $111K/yr

Senior Data Analyst (Remote) Duration: 12 Months Location: Remote Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered Work Arrangement * Remote ...

Canton, MA - 100% Remote Position Overview Hiring for experienced Data Analyst to support complex data, analytics, and information-management initiatives within the healthcare payer domain. The ...

This Data Analyst position is located within the Bureau of Consular Affairs, Resource Management ... Operate successfully on remote projects. * Other duties as required by the team and/or assigned by ...

This Data Analyst position is located within the Bureau of Consular Affairs, Resource Management ... Operate successfully on remote projects. * Other duties as required by the team and/or assigned by ...

We are looking for a Data Analyst who is curious, collaborative, and skilled at turning complex ... Ability to work independently, manage priorities, and collaborate effectively in a remote ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

Most of our positions are remote, providing flexibility while contributing to meaningful federal projects. Key Skills amp; Qualifications We're Looking For: * Data Analysis amp; Reporting: Experience ...

Showing results 41-60

Remote Lidar Data Analyst information

See salary details

$34K

$82.6K

$136K

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 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.

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.
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Infographic showing various Remote Lidar Data Analyst job openings in the United States as of September 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Grand Rapids, MI • Remote

$90K - $110K/yr

Full-time

Medical, Retirement, PTO

This job post has expired 3 days ago. Applications are no longer accepted.


Job description

Position: Data Analyst
Job Type: Permanent
Salary: $90,000-$110,000
Benefits: Healthcare Insurance, paid parental/maternity leave, unlimited PTO, 401k w/match, and employee wellness programs.
Location: 100% Remote
Position Summary: We are seeking a detail-oriented and technically skilled Data Analyst to support business intelligence, reporting, and data-driven decision-making across the organization. This role will be responsible for designing and maintaining dashboards, analyzing business performance, managing data integrations, and delivering actionable insights to stakeholders. The ideal candidate possesses strong experience with Power BI, SQL, Salesforce, and Microsoft technologies, along with the ability to translate complex data into meaningful business recommendations. This position requires a highly analytical professional who can partner with cross-functional teams to improve reporting capabilities, drive operational efficiencies, and support strategic initiatives.
Key Responsibilities of the Data Analyst:
  • Develop, maintain, and enhance Power BI dashboards, reports, and visualizations that provide actionable insights across business functions.
  • Write, optimize, and maintain SQL queries, stored procedures, and data models to support reporting and analytics requirements.
  • Analyze large datasets to identify trends, patterns, risks, and opportunities that support business decision-making.
  • Partner with stakeholders to gather reporting requirements and translate business needs into scalable analytics solutions.
  • Manage and support Salesforce reporting, dashboards, data integrity initiatives, and business analytics.
  • Integrate and consolidate data from Salesforce, Microsoft applications, ERP systems, and other business platforms.
  • Ensure data accuracy, consistency, and quality across reporting environments and business systems.
  • Create and maintain documentation for reporting processes, dashboard logic, data definitions, and analytics standards.
  • Monitor reporting performance and recommend improvements to data architecture, processes, and visualization strategies.
  • Support data governance initiatives, reporting best practices, and compliance requirements.
  • Collaborate with IT, Finance, Sales, Operations, and executive leadership to deliver meaningful business insights.
  • Perform ad hoc analysis and develop executive-level reports that support strategic planning and operational objectives.
  • Assist in the design and implementation of data warehouse, ETL, and business intelligence solutions.
  • Identify opportunities to automate reporting processes and improve data accessibility.
  • Present findings, recommendations, and key performance indicators to both technical and non-technical audiences.
  • Stay current on emerging trends and best practices related to Power BI, Salesforce analytics, SQL development, and business intelligence.
Required Qualifications of the Data Analyst:
  • Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business Analytics, Statistics, or a related discipline, or an equivalent combination of education and experience.
  • Minimum three years of experience in data analytics, business intelligence, reporting, or a related field.
  • Advanced experience developing dashboards and reports using Microsoft Power BI.
  • Strong hands-on experience writing complex SQL queries and working with relational databases.
  • Required experience utilizing Salesforce reporting, dashboards, data management, and analytics capabilities.
  • Experience gathering business requirements and translating them into reporting and analytical solutions.
  • Demonstrated ability to analyze large datasets, identify trends, and communicate actionable recommendations.
Preferred Qualifications of the Data Analyst:
  • Experience working within Microsoft technology environments, including Power BI, Excel, Azure, Microsoft Fabric, Power Platform, and Microsoft 365.
  • Knowledge of data modeling, ETL development, data warehousing concepts, and business intelligence best practices.
  • Experience integrating and analyzing data from Salesforce, ERP platforms, CRM systems, and third-party applications.
  • Strong understanding of KPI development, performance metrics, forecasting, and business reporting.
  • Experience with DAX, Power Query, and advanced Power BI development techniques.
  • Excellent analytical, problem-solving, organizational, and critical-thinking skills.
  • Strong communication skills with the ability to present technical findings to non-technical stakeholders and executive leadership.
  • Ability to manage multiple priorities, work independently in a remote environment, and collaborate effectively across departments.
  • Experience supporting private equity

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