Content Data Validation Analyst

Dodge is seeking a Content Data Validation Analyst to join our team! The Analyst ensures the accuracy, completeness, and reliability of Dodge Construction Network’s project reporting data. This is a detail-oriented, analytical role centered on systematic review and validation of structured construction project records, conducted primarily through desk-based research and data analysis.

The Analyst will conduct structured reviews of Dodge Reports, assess data against established quality standards, identify patterns of error or incompleteness, and work collaboratively with Data Stewards, Content Managers, and Operational Leadership to drive continuous improvement in data quality. In limited instances, outreach to industry professionals may be used to resolve specific data discrepancies that cannot be addressed through available records alone.

This is a full-time position reporting directly to the Sr. Manager, Operational Performance Management.

Preferred Location

• This is a remote, home‑office based role and candidates located in the continental United States will be considered
• For this position, there is a preference to hire in Eastern Time Zone, however candidates in the other time zones may be considered

Travel Requirements

Expected travel is minimal for this role.

Essential Functions

• Conduct systematic reviews of construction project records to assess accuracy, completeness, and adherence to established data standards
• Evaluate sampled Dodge Reports — structured records containing detailed information on construction projects — to ensure data reflected on the report aligns with available source data
• Identify data gaps, recurring errors, and patterns that indicate process or workflow issues
• Analyze audit findings and translate results into clear, actionable feedback for Data Stewards and managers
• Maintain detailed documentation of review findings and contribute to data quality scorecards and reporting
• Collaborate with the Governance Team to refine validation criteria and improve data governance frameworks
• Support process calibration and QA initiatives to drive consistent performance across the Content organization
• On occasion, follow up via email or phone with project participants (architects, contractors, etc.) when targeted outreach is the most efficient path to resolving a specific data discrepancy

Education Requirement

Bachelor’s degree or equivalent experience in data management, business, information systems, or a related field, or equivalent education and work experience.

Required Experience, Knowledge and Skills

• 2+ years of experience in data quality review, content QA, research validation, or operational data analysis — or equivalent demonstrated experience in a role requiring rigorous attention to data accuracy and structured record review — preferably in construction, media, research, or SaaS environments
• Strong analytical skills and rigorous attention to detail; ability to spot inconsistencies and errors in structured datasets
• Proficiency in Microsoft Excel and comfort working within data review or content management tools
• Clear written and verbal communication skills, including the ability to document findings and present recommendations
• Ability to calculate and interpret quality metrics such as error rates, completion rates, and accuracy scores

Preferred Experience, Knowledge and Skills

• Experience working within content management systems, CRMs, or research databases (Salesforce, Oracle, or similar)
• Familiarity with data visualization tools such as Tableau, Power BI, AWS QuickSight, or Excel charting
• Knowledge of construction industry data, project lifecycles, or content workflows
• Experience contributing to or improving data governance frameworks or QA methodology

About Dodge Construction Network

Dodge Construction Network exists to deliver the comprehensive data and connections the construction industry needs to build thriving communities. Our legacy is deeply rooted in empowering our customers with transformative insights, igniting their journey towards unparalleled business expansion and success. We serve decision‑makers who seek reliable growth and who value relationships built on trust and quality. By combining our proprietary data with cutting‑edge software, we deliver to our customers the essential intelligence needed to excel within their respective landscapes. We propel the construction industry forward by transforming data into tangible guidance, driving unparalleled advancement.

Dodge is the catalyst for modern construction.

Salary Disclosure

Base Salary Range: $60,000-$70,000

This represents the expected salary range for this job requisition. Final offers may vary from the amount listed based on factors including geography, candidate experience and expertise, and other job-related factors. Dodge Construction Network’s compensation and rewards package for full time roles includes a market competitive salary, comprehensive benefits, and, for applicable roles, uncapped variable incentive plans or an annual discretionary performance bonus.

For this role, we are only considering candidates who are legally authorized to work in the United States and who do not now or in the future require sponsorship for employment visa status.

A background check is required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job and consistent with all federal, state and local ordinances.

Reasonable Accommodation

Dodge Construction Network is committed to recruiting, hiring, and promoting people with disabilities. If you need an accommodation or assistance completing the online application, please email [email protected].

Equal Employment Opportunity Statement

Dodge Construction Network is an Equal Opportunity Employer. We are committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. All employment decisions shall be based on merit, qualifications, and business needs without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, pregnancy, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.