Data Quality Analyst

Job Description

Data Quality Analyst (Exp. 6-10 years) Key Responsibilities: Review data extracts (CSV, GeoPackage) via FME or internal systems. Analyze quality dashboards to identify patterns of data issues, including: Textual issues: incorrect/missing IDs, invalid relations, address mismatches, date inconsistencies. Spatial issues: invalid geometries, overlaps, incorrect boundary placements, zero-area polygons. Classify and prioritize issues by severity and type. Translate dashboard insights into clear, actionable instructions for the Operations team to resolve. Collaborate with Data Engineers to update validation rules and dashboards as needed. Maintain issue logs and validation reports for audit trail and status tracking. Provide feedback to Local Authorities regarding common recurring issues and recommended best practices. Liaise with GIS teams to verify complex spatial anomalies when required. Required Skills & Experience: Bachelor's degree in GIS, Data Analytics, Computer Science 46 years of experience in data validation, spatial data analysis, or QA in government/public sector projects. Strong hands-on experience with spatial data formats: Shapefile, GeoPackage (GPKG), WKT, GeoJSON. Familiarity with tools such as QGIS, ArcGIS, or FME. Proficiency in PostgreSQL/PostGIS or other spatial databases. Ability to read and interpret data dashboards and translate findings into business-friendly actions. Strong communication skills for coordinating across data, operations, and local authority teams. Preferred (Nice to Have): Understanding of Local Land Charges (LLC) and HM Land Registry data standards in UK. Experience working with Idox Uniform, CCF, or FME-based pipelines. Exposure to AI-based tools for anomaly detection or NLP-based document parsing.