Dodge Construction Network

Content Data Quality Analyst

Dodge Construction Network

full-time

Posted on:

Location Type: Remote

Location: New YorkUnited States

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Salary

💰 $48,800 - $61,000 per year

About the role

  • 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)
  • A comprehensive understanding of data quality principles, audit methodologies, and structured content validation, with strong report writing skills
  • Ability to calculate and validate percentages, completion rates, error rates, and quality metrics
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data quality auditingcontent QAresearch verificationoperational data validationdata quality principlesaudit methodologiesstructured content validationreport writingdata analysisquality metrics
Soft Skills
attention to detailanalytical skillsverbal communicationcollaborationprocess improvementfeedback provisiondocumentationcomfort with phone verificationproblem-solvingorganizational skills