Construction Content Data Quality Analyst

Jobtailor; Deutschland; Vor Ort; EUR 42.000 - 62.000; Vollzeit

Zusammenfassung

Dodge Content is seeking an experienced Data Quality Auditor to ensure the accuracy and reliability of project reporting data across our content operations in Germany. You will conduct routine audits, verify data with architects, contractors, and other project participants, and provide timely feedback to data stewards and managers.

In this role you will analyze audit results to identify gaps and recurring errors, contribute to data governance frameworks with the Data Quality Management team, and

Qualifikationen

• 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)

Aufgaben

• 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

Kenntnisse

Data quality auditing

Attention to detail

Verbal communication

Excel

Verification calls

Tools

Excel

Jobbeschreibung

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.