GIS Data Analyst

About the Role

We 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:

• Licenses

• Applications

• Parcels

• Related 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 data

• Spatial geometry

• Relationships between records

• GIS identifiers and linked records

✅ Identify and resolve:

• Duplicate records

• Duplicate geometry

• Missing relationships

• Orphan records

• Incorrect relationships

✅ Conduct spatial data quality checks including:

• Geometry validation

• Spatial overlap analysis

• Area verification

• Coordinate 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.