GIS Analyst – Remote Sensing, Site Investigation

AtkinsRéalis

. Define and document analysis methods, acceptance criteria, and quality control procedures for LiDAR data, point clouds, drone imagery, and other remote sensing products .

Posted 9/22/2026full-timeMontréal • CanadaMid-LevelSenior💰 CA$64,000 - CA$90,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in interpreting LiDAR data, performing terrain analyses, and producing geospatial deliverables. Proficient in ArcGIS Pro and capable of collaborating with multidisciplinary teams to provide technical recommendations and communicate findings effectively.

Highest-signal resume keywords

LiDAR Data InterpretationArcGIS Pro ProficiencyTerrain AnalysisGeospatial Data Quality ControlTechnical Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LiDAR DataPoint CloudsDrone ImageryTerrain AnalysisDigital Elevation ModelsSpatial AnalysisCoordinate SystemsData Accuracy AssessmentTechnical RecommendationsGeospatial Deliverables

Soft Skills

Analytical SkillsProblem-SolvingAttention to DetailOrganizational SkillsCollaboration

Tools & Technologies

ArcGIS ProArcGIS EnterpriseArcGIS OnlineFMEPythonModelBuilderPhotogrammetry Software

Industry Keywords

Remote SensingGeospatial DataEnvironmental ProjectsInfrastructure ProjectsQuality Control Procedures

Tech Stack

Tools & technologies

CloudPythonRemote Sensing

About the role

Key responsibilities & impact

Define and document analysis methods, acceptance criteria, and quality control procedures for LiDAR data, point clouds, drone imagery, and other remote sensing products
Interpret LiDAR data and imagery to assess terrain, drainage, vegetation, physical constraints, and site conditions
Perform terrain analyses using digital elevation models, slopes, profiles, contours, and derived products
Assess data coverage, resolution, accuracy, classification, spatial referencing, and fitness for project needs
Compare remote sensing data with survey, design, and other data sources to identify and resolve discrepancies
Develop technical recommendations and communicate findings, limitations, and risks to design, environmental, and engineering teams
Produce maps, 2D and 3D analyses, and geospatial deliverables supporting site investigations and project decisions
Coordinate technical activities with field specialists, processing teams, and data suppliers
Verify that deliverables meet established requirements
Document methodologies, assumptions, controls, results, and decisions in a clear, structured, and verifiable manner

Requirements

What you’ll need

Bachelor’s degree in geomatics, geography, remote sensing, earth sciences, engineering, environmental science, or a related discipline
Minimum of five years of relevant experience, including at least two years working with LiDAR data, point clouds, drone imagery, terrain analysis, or other remote sensing data
Experience interpreting remote sensing data and assessing site conditions for infrastructure, engineering, or environmental projects
Strong proficiency in ArcGIS Pro, including 3D tools, LAS datasets, rasters, mosaics, elevation models, and spatial analysis functions
Good understanding of coordinate systems, spatial accuracy, resolution, point classification, and geospatial data quality control principles
Ability to define methods and acceptance criteria, resolve discrepancies between sources, and provide technical recommendations
Ability to collaborate with multidisciplinary teams and explain technical results to technical and non-technical audiences
Excellent analytical, spatial interpretation, and complex problem-solving skills
Rigour, professional judgment, and attention to detail
Independence, strong organizational skills, and ability to manage multiple priorities
Excellent communication skills
Proficiency in French or English; knowledge of English is required for collaboration with Canadian or global leadership outside Québec
Experience with ArcGIS Enterprise or ArcGIS Online, specialized point-cloud processing or photogrammetry software, FME, Python, or ModelBuilder is considered an asset

Benefits

Comp & perks

Competitive compensation
Employee recognition
Flexible benefits tailored to health, wellbeing, financial, and lifestyle needs
Training and professional development opportunities
Hybrid working culture
Generous time-off policies
Appropriate accommodation throughout the recruitment and hiring process as required by Company policy and the Accessibility for Ontarians with Disabilities Act (AODA)