Customer Support - GIS Data Quality Specialist
No longer listedRemoteQuality Control, Customer SupportPosted Jun 19, 2026
Skip to ContentSearch JobsRecommended Jobs English (United States)Sign InCustomer Support - GIS Data Quality SpecialistReq #532VirtualApplyShareJob DescriptionPosted Friday, June 19, 2026 at 7:00 AM
At LightBox, we strive to not only equip confident, data-driven decisions across sectors, but to also enrich lives by bringing people, information, and technology together. As a company with a wide range of clients, we believe a diverse workforce is crucial to success. Our commitment to inclusion across race, gender, age, religion, identity, and experience is the foundation upon which we operate and connect with our customers and the communities in which we work. With our expertise, we are producing the best available data, workflow tools, technology, and analytics to support everyone making a real estate decision. There has never been a better time to make an impact and we invite you to join us on this journey. LightBox is a leading provider of data and workflow solutions across commercial real estate and location intelligence. Our solutions deliver the depth, speed and accuracy that enable insights to over 50,000 brokers, 1,000 banks and lenders, 1,000 law firms and 5,000 environmental consulting and engineering firms.
Position Overview
The GIS Data Quality Specialist is responsible for researching, analyzing, and resolving exceptions identified within LightBox’s location intelligence and geospatial data platforms. This role uses GIS tools, SQL, aerial imagery, parcel data, address datasets, building footprints, and other authoritative sources to validate and improve location-related records.
This position is focused on data quality, structured research, exception resolution, documentation, and process consistency. The GIS Data Quality Specialist applies established business rules and procedures to evaluate records, determine appropriate resolutions, and support the accuracy and reliability of LightBox’s geospatial and property data.
The ideal candidate is highly analytical, detail-oriented, and comfortable working independently within structured and repeatable workflows. Success in this role requires strong GIS knowledge, SQL proficiency, sound research judgment, excellent documentation skills, and a commitment to accuracy and consistency when reviewing high volumes of data.
What you will do and achieve
Research and resolve exceptions identified through automated data quality, validation, and exception management processes.
Analyze location-related records using GIS tools, aerial imagery, parcel data, address datasets, building footprints, geocodes, and other authoritative sources.
Execute SQL queries to investigate data anomalies, compare records across datasets, validate data accuracy, and support exception resolution.
Apply established business rules, procedures, and quality standards to determine appropriate resolutions for flagged records.
Document research findings, decisions, and supporting information in accordance with internal quality, audit, and process documentation standards.
Maintain productivity and quality standards while processing a structured queue of exception-based research tasks.
Identify trends, recurring exception patterns, root causes, and data quality issues and provide feedback to improve processes, automation, and data integrity.
Collaborate with data operations, GIS, product, and related teams to support data quality, process improvement, and operational efficiency.
Assist in the development, refinement, and maintenance of research procedures, quality controls, standard operating procedures, and training documentation.
Use GIS platforms and related tools to review spatial relationships, validate location accuracy, interpret imagery, and assess property-related records.
Support continuous improvement efforts that increase the accuracy, consistency, efficiency, and scalability of geospatial data quality processes.
This is a non-exempt position within the applicable salary range based on a 40-hour...