Geospatial Data Quality & Reconciliation Analyst

TMC Middle East; Riyadh; In loco; SAR 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

TMC Middle East is seeking a GIS Data Analyst to join a large-scale data cleansing and reconciliation project. You will analyze, validate, cleanse, and reconcile geospatial and attribute data to align GIS records with source systems.

You will drive data quality improvements, resolve data relationships, validate spatial datasets, and support licenses, applications, and parcels within critical GIS layers, collaborating with GIS specialists and stakeholders.

Mansioni

• 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: Relationships between records; GIS identifiers and linked records
• Identify and resolve: Duplicate records; 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.

Descrizione del lavoro

TMC Middle East is seeking a GIS Data Analyst to join a large-scale data cleansing and reconciliation project. You will analyze, validate, cleanse, and reconcile geospatial and attribute data to align GIS records with source systems.

You will drive data quality improvements, resolve data relationships, validate spatial datasets, and support licenses, applications, and parcels within critical GIS layers, collaborating with GIS specialists and stakeholders.