Senior Analyst

NV5•Lexington, KY

2d•Hybrid

About The Position

NV5 is actively recruiting a Senior Geospatial Analyst to support transportation-focused geospatial projects involving roadway asset inventories, mobile mapping data, lidar, imagery, GIS databases, and client-facing deliverables. This role will support projects for departments of transportation, counties, municipalities, and infrastructure clients by performing advanced geospatial analysis, managing spatial data, supporting production workflows, and ensuring deliverables meet technical, quality, and client-specific requirements. The ideal candidate has strong GIS technical skills, experience working with transportation data, and the ability to lead analytical tasks while mentoring junior staff. This position requires a detail-oriented problem solver who can work across GIS, remote sensing, data management, quality control, and project delivery teams.

Requirements

Bachelor's or Master's degree in Geography, GIS, Cartography, Remote Sensing, Transportation Planning, or related field.
Experience (typically 3+ years for a Senior role) in geospatial analysis or related technical production environments.
Demonstrated expertise in using geospatial software (e.g., ArcGIS, QGIS) and geospatial data management tools.
Strong understanding of geospatial principles, techniques, and methodologies.
Experience working with roadway networks, asset inventories, linear referencing systems, milepost-based data, or DOT data standards.
Excellent analytical, problem-solving, and critical thinking skills.
Strong communication, interpersonal, and teamwork skills

Nice To Haves

Experience supporting state DOT, county, municipal, or transportation infrastructure projects.
Experience with mobile mapping data, lidar point clouds, 360-degree imagery, pavement imagery, or other sensor-derived datasets.
Experience with Python, ArcPy, SQL, Arcade, FME, ModelBuilder, or other workflow automation tools.
Experience with industry related standards including SNBI, MIRE, HPMS, and PROWAG
GISP, Esri certification, ASPRS certification, PMP, or related professional certification is a plus.

Responsibilities

Conduct complex geospatial analyses using transportation-related data sources, including roadway networks, asset inventories, lidar point clouds, 360-degree imagery, aerial imagery, terrain data, linear referencing systems, and feature datasets.
Use GIS software and related tools, including ArcGIS Pro, ArcGIS Online, Enterprise Geodatabases, QGIS, and remote sensing or mobile mapping platforms, to support data production and analysis.
Apply transportation of GIS concepts such as route-based analysis, linear referencing, asset attribution, spatial joins, proximity analysis, and feature validation.
Support the creation of high-quality geospatial products, including maps, dashboards, reports, web applications, data review tools, production tracking layers, and client-ready GIS deliverables.
Perform spatial modeling, data extraction, feature interpretation, and advanced analytical techniques to derive meaningful information from geospatial and sensor-based data.
Interpret and analyze mobile mapping data, including lidar and imagery, to support transportation asset extraction, validation, and inventory development.
Ensure data accuracy, completeness, consistency, and usability through rigorous quality control and quality assurance procedures.
Provides technical guidance and mentorship to junior geospatial analysts and production staff.
Leads geospatial projects, managing tasks, timelines, and resources effectively.
Contributes to the development and improvement of geospatial workflows, tools, and best practices.
Support project managers by estimating task effort, identifying technical risks, tracking progress, and communicating production or data quality concerns.
Manages and organizes geospatial data, ensuring data accessibility, integrity, and security.
Promotes data sharing and interoperability between systems and organizations.
Works with database administrators and other IT professionals to optimize geospatial data storage and retrieval.
Communicates effectively with technical and non-technical audiences, both orally and in writing.
Collaborates with cross-functional teams to integrate geospatial information into broader analyses and decision-making processes.
Presents geospatial findings and recommendations to stakeholders in a clear and concise manner.