Customer Support – GIS Data Quality Specialist

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Dayforce

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

👥 HR Tech

☁️ SaaS

🤝 B2B

💰 $1G Post-IPO Debt - Dayforce on 2024-03

HR Tech • SaaS • B2B

Dayforce is a cloud-based human capital management (HCM) platform offered by Ceridian that provides employers with integrated HR, payroll, benefits, workforce management (time and attendance), and talent management capabilities. It is designed as a single application to help organizations manage employee life-cycle processes, payroll and compliance, and workforce scheduling in a unified system.

📋 Description

• 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.

🎯 Requirements

• Bachelor’s degree in Geography, GIS, Geospatial Science, Information Systems, Computer Science, Data Analytics, or a related field required, or equivalent work experience. • GIS certification or advanced coursework in geospatial analysis, database management, spatial data science, data analytics, or a related field preferred. • 3+ years of experience in GIS, geospatial analysis, location intelligence, land records research, data quality operations, or a related analytical field. • Experience writing SQL queries for data investigation, validation, comparison, and exception resolution. • Experience using ArcGIS Pro, ArcGIS Online, QGIS, PostGIS, or similar GIS platforms. • Experience working with large datasets and performing structured research using repeatable processes, documented procedures, and quality standards. • Experience evaluating addresses, parcels, building footprints, geocodes, property records, or other location-based data strongly preferred. • Experience documenting research findings, applying business rules, and maintaining quality standards in a structured production or operations environment preferred.