Hiring: Geospatial Analyst I Company: Enviva Location: Raleigh, NC Job Posted Time: 2026-09-10 13:20:00 Employment Type: Remote Target Skills & Keywords : ETL, Python, Quality Assurance, SQL About the job Required Skills: •Review geospatial and tabular data for completeness, accuracy, consistency, and adherence to established standards. •Identify, document, and communicate geometry, attribute, identifier, relationship, attachment, and data-model issues via spatial hosted feature services. This will commence with data corrections for review, progressing into assumed responsibility for data quality assurance. •Understand, run, and examine results of established geoprocessing tools, scripts, SQL queries, data updates, and QA/QC checks. •Maintain authoritative tract, stand, supplier, and related operational datasets. •Investigate GIS application and workflow issues, with ability to distinguish incorrect source data, user error, and system flaws. •Provide first-line support for Field Maps and other operational GIS applications, escalating issues when appropriate. •Support supplier-data intake, standardization, validation, and loading into established GIS datasets. •Interface directly with the Sustainability Analyst and operational teams to document, assign, track, and resolve identified data issues. Qualifications: •Bachelor’s degree in GIS, geography, forestry, natural resources, environmental science, civil engineering, information systems, or a related field; equivalent relevant experience may be considered. •Two to four years of relevant GIS experience. •Demonstrated capacity to independently edit data, run geoprocessing tools, perform basic spatial analysis, and produce maps in ArcGIS Pro. •Understanding of feature classes, tables, joins, relates, coordinate systems, coordinate geometry, and common geospatial data formats. •Strong attention to detail and the ability to identify inconsistencies in spatial and tabular data. •Demonstrated capacity to investigate routine GIS problems, document findings, and seek guidance when needed. •Strong organizational, communication, and collaboration skills •Operational familiarity with forest-material operations, mobile data collection, or field-to-office workflows. •Exposure to Python or another scripting language. •Operational familiarity with imagery, remote sensing, parcel data, or environmental datasets. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!