The Geospatial Analyst I is an entry-level analyst position responsible for supporting the ingestion, organization, and initial processing of field data collected by Survey Technicians and UAS Pilots. Working under direct supervision, the Geospatial Analyst I assists in converting raw field data into organized, usable datasets and learns the processing workflows, tools, and quality standards required to produce accurate project deliverables. This role is foundational to the data pipeline that connects field operations to final client outputs.
Essential Duties and Responsibilities
Data Ingestion and Organization
- Receive, sort, and organize raw field data submitted by Survey Technicians and UAS Pilots, including LiDAR point clouds, field photography, pole data, conductor observations, and thermal imagery.
- Verify that incoming data packages are complete and match project requirements before beginning processing; flag missing or incomplete submissions to the supervising analyst.
- Maintain consistent file naming conventions, folder structures, and data storage protocols across all active projects.
- Upload and log received data into designated project storage platforms in accordance with company procedures.
Data Processing Support
- Assist in the conversion and initial processing of LiDAR data into LAS file formats under the guidance of senior analysts.
- Support the sorting, labeling, and initial quality review of field photography, flagging images that do not meet company or client standards.
- Assist in organizing thermal imagery datasets for retrieval and downstream analysis.
- Support the preparation of condition assessment reports by compiling and formatting data under senior analyst direction.
- Assist in developing basic reports from ground penetrating radar (GPR) data as assigned.
GIS and Data Management Support
- Assist in maintaining and updating GIS datasets, ensuring data is accurately entered and organized for field and office use.
- Learn and apply GIS tools and data management platforms used by the team, building foundational proficiency under supervision.
- Support data integrity checks and flag discrepancies identified during review.
Quality Assurance Support
- Perform initial QA checks on processed data and imagery, applying company and client standards as directed.
- Document quality issues clearly and elevate findings to the supervising analyst for resolution.
- Learn QA/QC workflows and deliverable standards to build competency for increased independent responsibility.
Coordination and Administrative Support
- Communicate with field teams and senior analysts regarding data submission status, missing items, and processing questions.
- Provide basic administrative and operational support to the data processing team as assigned.
- Assist with survey equipment inventory tracking and logging as directed.
Additional Responsibilities
- Perform all duties as directed by the Geospatial Solutions Supervisor or senior analysts in support of project and departmental goals.
Qualifications
- Associate degree in Geomatics, Surveying, Geography, GIS, or a related field; or equivalent professional experience.
- No prior professional analyst experience required; entry-level candidates with relevant coursework or internship experience will be considered.
- Basic familiarity with GIS applications and geospatial data concepts.
- Comfort with computers, file management systems, and data organization.
- Basic proficiency with Microsoft Office Suite.
- Detail-oriented, organized, and committed to learning processing workflows and quality standards.
- Reliable and communicative, with the ability to work effectively within a team environment.
- Committed to data accuracy and careful file management.
Preferred Qualifications
- Additional coursework or training in geospatial technology, remote sensing, or data processing.
- Exposure to GIS software, LiDAR data, or field data collection environments through coursework or prior work.
- Willingness to learn LiDAR data processing, LAS file formats, and field imagery QA procedures.
- Able to manage multiple tasks and prioritize effectively under supervision.