LiDAR Analyst

PEAK Technical Services Inc.; Lafayette (LA); On-site; USD 45,000 - 65,000; Full time

Job summary

PEAK Technical Services Inc. is seeking a Junior LiDAR Analyst in Lafayette, LA to support processing, classification, quality control, and package large LiDAR datasets.

You will work under senior analysts to ensure deliverables meet project specs and client requirements, gaining exposure to NOAA/USGS standards and geospatial workflows. The role focuses on routine point cloud tasks, data validation, and QA/QC activities, with opportunities to learn automated workflows and data management across

Qualifications

• Associate's or Bachelor's degree in Geomatics, GIS, Remote Sensing, Geography or related field.
• Equivalent professional experience may be considered.
• Basic understanding of LiDAR technology and point cloud datasets.
• Familiarity with GIS concepts, coordinate systems, and spatial data management.
• Exposure to TerraScan/TerraSolid, LP360, ArcGIS Pro, Global Mapper, and QGIS.
• Understanding of LAS/LAZ file formats is preferred.
• Strong attention to detail and ability to follow documented production procedures.

Responsibilities

• Perform production-based processing of airborne LiDAR datasets using established workflows.
• Support point cloud classification activities including ground, vegetation, building, water, bridge, and noise classification.
• Apply automated classification routines and perform manual corrections where needed.
• Assist in identifying and correcting classification errors within assigned production areas.
• Ensure datasets meet completeness and coverage standards before advancing.

Skills

LiDAR knowledge

Geospatial concepts

Attention to detail

Procedural following

Education

Geomatics/GIS degree

Tools

TerraScan/TerraSolid

LP360

ArcGIS Pro

Global Mapper

QGIS

Job description

#Tech-Pro-Admin-01 Job Summary

The Junior LiDAR Analyst is an entry-level geospatial production professional responsible for supporting the processing, classification, quality control, and preparation of large-scale airborne LiDAR datasets. Working under the guidance of senior analysts and technical leads, the analyst contributes to the production of high-quality geospatial deliverables by performing routine point cloud processing tasks, data validation, and quality assurance activities. This role focuses on the efficient production of LiDAR datasets through established workflows while maintaining adherence to project specifications, company standards, and client requirements. Successful candidates will develop expertise in point cloud analysis, automated classification workflows, geospatial quality control, and large-scale data management while supporting projects across utility, government, transportation, and environmental markets.

Key Responsibilities

• LiDAR Data Processing
  • Perform production-based processing of airborne LiDAR datasets using established workflows and procedures.
  • Support point cloud classification activities including ground, vegetation, building, water, bridge, and noise classification.
  • Apply automated classification routines and perform manual corrections where needed.
  • Assist in identifying and correcting classification errors within assigned production areas.
  • Ensure datasets meet required completeness and coverage standards before advancement to the next production stage.
• Quality Control and Validation
  • Conduct routine QA/QC reviews of point cloud deliverables.
  • Review classified datasets for missing ground, improper classifications, artifacts, and processing anomalies.
  • Verify consistency between adjacent tiles and project deliverables.
  • Validate production outputs against project specifications and internal quality standards.
  • Document findings and coordinate corrections with senior staff when required.
• Data Management and Production Support
  • Organize and maintain project data according to established file structures and naming conventions.
  • Monitor production progress and report status updates to project leads.
  • Maintain production logs and workflow documentation.
  • Assist with data packaging and preparation of final deliverables.
  • Support project teams in meeting production schedules and delivery commitments.
• Technical Development
  • Learn and apply LiDAR processing best practices and company standards.
  • Participate in team training sessions and workflow improvement initiatives.
  • Develop familiarity with client specifications such as NOAA, USGS, state government, and utility standards.
  • Gain knowledge of geospatial accuracy requirements and quality methodologies.
• Team Collaboration
  • Work closely with team leads, senior analysts, and production supervisors to address technical issues.
  • Escalate processing concerns and data quality issues promptly.
  • Collaborate with offshore and domestic production teams as needed.
  • Share lessons learned and contribute to continuous process improvement efforts.

Required Skills & Qualifications

• Education
  • Associate's or Bachelor's degree in Geomatics, Geographic Information Systems (GIS), Remote Sensing, Geography, Engineering Technology, Computer Science, or a related field.
  • Equivalent professional experience may be considered.
• Technical Qualifications
  • Basic understanding of LiDAR technology and point cloud datasets.
  • Familiarity with GIS concepts, coordinate systems, and spatial data management.
  • Exposure to geospatial software such as TerraScan/TerraSolid, LP360, ArcGIS Pro, Global Mapper, and QGIS.
  • Understanding of LAS/LAZ file formats and point cloud visualization concepts is preferred.
• Analytical Skills
  • Strong attention to detail and ability to identify data inconsistencies.
  • Ability to follow documented production procedures accurately.
  • Capable of performing repetitive technical tasks while maintaining quality expectations.
  • Strong organizational and time management skills.

Located in Lafayette, LA, United States, a vibrant area known for its diverse industries and opportunities, this position offers a unique chance to gain experience in the geospatial field.