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Local Lidar Data Analyst Jobs in Texas (NOW HIRING)

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

Drone Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Flight logs * Sensor data RGB thermal LiDAR * Data Analytics * Experience handling largescale video and image datasets * Familiarity with computer vision workflows and AI model integration

LiDAR Technician I

Austin, TX · On-site

$19.50 - $26.75/hr

Data analysis and interpretation skills. * Consistent delivery of high-quality LiDAR datasets ... Primarily local travel during the business day, although some out-of-the-area and overnight travel ...

LiDAR Technician I

Austin, TX · On-site

$19.50 - $26.75/hr

Data analysis and interpretation skills. * Consistent delivery of high-quality LiDAR datasets ... Primarily local travel during the business day, although some out-of-the-area and overnight travel ...

... LiDAR technologies Process and analyze field data using industry-standard software Ensure compliance with local, state, and federal surveying regulations Assist with easements, right-of-way ...

... LiDAR technologies Process and analyze field data using industry-standard software Ensure compliance with local, state, and federal surveying regulations Assist with easements, right-of-way ...

Utilize GPS, total stations, drones, and LiDAR technologies * Process and analyze field data using industry-standard software * Ensure compliance with local, state, and federal surveying regulations ...

Data Analyst

Dallas, TX · On-site

$50 - $60/hr

Data Analyst Pay Rate: $50-60/HR Contract Length : 3-6 month - high chance of extension Location ... Addison Group complies with applicable state and local laws governing non-discrimination in ...

Must Have- Candidate should be local to Dallas Texas only. Candidate should be ready for F2F interview. Candidate should be ready for onsite work in Downtown Dallas. The Data Analyst will be part of ...

Data Analyst

El Paso, TX · Hybrid

$50K - $115K/yr

This position focuses on data analysis for law enforcement support, requiring a combination of ... Must be local to El, Paso TX or willing to drive on site 5 days a week. * Applicants selected will ...

TIAG is now hiring a Data Analyst to support the Defense Medical Logistics Standard Support Program ... local, state, or federal laws, rules, or regulations. TIAG takes proactive steps to employ and ...

Data Analyst

El Paso, TX · Hybrid

$50K - $115K/yr

This position focuses on data analysis for law enforcement support, requiring a combination of ... Must be local to El, Paso TX or willing to drive on site 5 days a week. * Applicants selected will ...

Data Analyst

El Paso, TX · On-site

$50K - $115K/yr

This position focuses on data analysis for law enforcement support, requiring a combination of ... Must be local to El, Paso TX or willing to drive on site 5 days a week. * Applicants selected will ...

Data Analyst

El Paso, TX · On-site

$50 - $115/hr

This position focuses on data analysis for law enforcement support, requiring a combination of ... Must be local to El, Paso TX or willing to drive on site 5 days a week. * Applicants selected will ...

Position: Data Analyst Location: Irving, TX Duration: 6+ Months Only Local Candidates as F2F interview is required Need candidates on W2 only Working closely with business owners to gather ...

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Local Lidar Data Analyst information

What is a local lidar data analyst?

Local Lidar Data Analysts are professionals who specialize in collecting, processing, and interpreting Lidar (Light Detection and Ranging) data for specific geographic areas. They work with point cloud data generated by Lidar sensors to create detailed maps and models of terrain, infrastructure, and vegetation. Their work is crucial for applications such as urban planning, environmental monitoring, and disaster management. By analyzing local Lidar data, they help organizations make data-driven decisions based on accurate, high-resolution spatial information.

What are the key skills and qualifications needed to thrive as a local lidar data analyst, and why are they important?

To thrive as a Local Lidar Data Analyst, you need strong skills in geospatial analysis, data processing, and a background in geography, GIS, or remote sensing. Familiarity with software such as ArcGIS, QGIS, and lidar-specific tools like LAStools, along with certifications in GIS or remote sensing, is typically required. Attention to detail, problem-solving, and effective communication are essential soft skills for interpreting complex data and collaborating with teams. These skills ensure accurate data analysis and actionable insights, which are critical for supporting projects in urban planning, environmental monitoring, and infrastructure development.

What are some common challenges faced by a local lidar data analyst when processing and interpreting geospatial data?

A Local Lidar Data Analyst often encounters challenges such as managing large volumes of data, ensuring data accuracy, and filtering out noise caused by environmental factors like vegetation or weather. Interpreting Lidar point clouds requires attention to detail and proficiency with specialized software tools. Collaborating with GIS professionals and field survey teams is essential to validate data and integrate findings for mapping, urban planning, or infrastructure projects.

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

AspectLocal Lidar Data AnalystGIS Analyst
Required CredentialsBachelor's in Geomatics, Geography, or related field; lidar certification preferredBachelor's in Geography, GIS, or related field; GIS certifications advantageous
Work EnvironmentField data collection, data processing, and analysis in urban or rural settingsOffice-based GIS mapping, spatial analysis, and data management
Industry UsageUrban planning, infrastructure, environmental monitoringUrban planning, environmental management, transportation

While both roles involve spatial data analysis, the Local Lidar Data Analyst specializes in processing and analyzing lidar point cloud data, often involving fieldwork and lidar-specific tools. The GIS Analyst focuses on geographic information systems, mapping, and spatial data management. Both roles are essential in geospatial industries but differ in data types and daily tasks.

What are the most commonly searched types of Lidar Data Analyst jobs in Texas?

The most popular types of Lidar Data Analyst jobs in Texas are:

What cities in Texas are hiring for Local Lidar Data Analyst jobs?

Cities in Texas with the most Local Lidar Data Analyst job openings:

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Required Skills
  • 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling.
  • 5+ years of client-facing, consulting, or business development experience delivering analytics solutions.
  • Expertise in statistical modeling, machine learning, and predictive analytics.
  • Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow.
  • Experience in time-series forecasting, causal inference, feature engineering, and advanced data sampling/resampling techniques.
  • Strong expertise in geospatial analytics and LiDAR data processing.
  • Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries.
  • Experience working with vector, raster, point-cloud, and sensor datasets.
  • Excellent analytical, communication, and stakeholder management skills.
Roles & Responsibilities
  • Design and develop advanced machine learning and statistical models to solve complex business problems.
  • Build predictive models, time-series forecasting solutions, and causal inference frameworks.
  • Perform feature engineering, data preparation, and advanced sampling techniques for large-scale datasets.
  • Develop geospatial analytics and LiDAR processing solutions using industry-standard tools and libraries.
  • Analyze vector, raster, point-cloud, and sensor data to generate actionable insights.
  • Partner with business stakeholders to scope, design, and deliver data science solutions.
  • Present analytical findings and recommendations to technical and business audiences.
  • Optimize model performance, scalability, and deployment in production environments.
  • Mentor data scientists and promote best practices in analytics and machine learning.
  • Support innovation initiatives through advanced analytics and AI-driven solutions.