Construction Content Data Quality Analyst

Responsibilities

• Ensure the accuracy, completeness, and reliability of Dodge Content’s project reporting data
• Conduct routine audits of project records to ensure accuracy, completeness, and adherence to established data standards
• Review sampled Dodge Reports to ensure data reflected on report aligns with the data available
• Perform verification calls & emails with architects, contractors, and other project participants to confirm key project details
• Analyze audit results to identify data gaps, recurring errors, and opportunities for process improvement
• Provide timely feedback to Data Stewards and managers regarding audit outcomes and corrective actions
• Maintain detailed documentation of audit findings and contribute to data quality scorecards
• Collaborate with the Data Quality Management team to refine audit criteria and improve data governance frameworks
• Support process calibration and QA initiatives to drive consistent performance across the Content organization

Requirements

• 2+ years of experience in data quality auditing, content QA, research verification, or operational data validation, preferably in construction, media, research, or SaaS environments
• Excellent attention to detail and analytical skills
• Strong verbal communication skills and comfort with professional phone verification
• Proficiency in Microsoft Excel and other data review tools
• Knowledge of construction industry data or content workflows a plus
• Comfort conducting outbound verification calls with industry professionals (architects, engineers, contractors)

Core Competencies

Demonstrates expertise in data quality auditing and verification processes, with a strong focus on accuracy and completeness in project reporting. Proficient in utilizing data review tools and maintaining effective communication with industry professionals to enhance data governance.