GIS Data Analyst

About the RoleWe are looking for a GIS Data Analyst to join a large-scale GIS Data Cleansing & Reconciliation project. The successful candidate will be responsible for analyzing, validating, cleansing, and reconciling geospatial and attribute data, ensuring alignment between GIS records and operational source systems.This role will play a key part in improving data quality, correcting data relationships, validating spatial datasets, and supporting the reconciliation of licenses, applications, parcels, and other critical geospatial layers.Key Responsibilities✅ Analyze and assess GIS datasets to identify data quality issues, inconsistencies, duplicates, and missing information.✅ Perform geospatial data cleansing, validation, correction, and reconciliation activities.✅ Review and validate relationships between:LicensesApplicationsParcelsRelated GIS operational layers✅ Compare GIS records against source system data and identify discrepancies.✅ Support GIS-to-source system reconciliation activities and maintain data traceability.✅ Validate and correct:Attribute dataSpatial geometryRelationships between recordsGIS identifiers and linked records✅ Identify and resolve:Duplicate recordsDuplicate geometryMissing relationshipsOrphan recordsIncorrect relationships✅ Conduct spatial data quality checks including:Geometry validationSpatial overlap analysisArea verificationCoordinate system validation✅ Execute QA/QC procedures on cleansed datasets.✅ Maintain Data Cleansing & Reconciliation Logs and support project documentation.✅ Collaborate with GIS specialists, database teams, and business stakeholders to validate source information and data corrections.