Data Quality Analyst

ICF is hiring a Data Quality Analyst for its Digital Modernization Division supporting a federal agency’s enterprise data and analytics ecosystem. The role defines and monitors data-quality rules and governance metrics, coordinates with data stakeholders, and supports reporting, trend analysis, and corrective-action tracking.

Responsibilities:

• Defines, monitors, and reports on data-quality rules, quality dimensions, freshness SLAs, publication readiness, and governance-health metrics
• Coordinates with data owners, stewards, and engineers to ensure rule definitions are meaningful, measurable, and aligned to Government-approved standards
• Supports Quarterly DataGov reporting, quality trend analysis, corrective-action tracking, and customer confidence in published data
• Apply Data quality dimensions, rule libraries, freshness SLAs, publication gates, data profiling, governance metrics, and reporting to support role delivery
• Collaborate with relevant product, engineering, security, governance, quality, and customer-facing stakeholders as required by the role
• Document work products, decisions, risks, and delivery evidence to support traceability and continuous improvement

Requirements:

• U.S. Citizenship is required due to federal contract requirements
• Candidate must be authorized to work in the U.S
• Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years
• Bachelor's degree in Data Management, Statistics, Data Analytics, Information Systems, Business Analytics, Data Governance, or related field; or a high school diploma with four (4) additional years of relevant experience in lieu of a bachelor's degree
• Minimum 3 years of relevant experience aligned to the responsibilities of this role
• Master's degree may substitute for two (2) years of relevant experience
• Highly effective analytical, problem-solving, and decision-making capabilities
• Excellent written and verbal communication skills, with the ability to work effectively across technical and non-technical audiences
• Strong organization, attention to detail, and the ability to prioritize and manage multiple responsibilities
• Collaborative approach with a commitment to quality, accountability, and continuous improvement
• Experience defining, measuring, and reporting data quality dimensions including completeness, accuracy, consistency, validity, uniqueness, integrity, and timeliness
• Experience designing, maintaining, and evaluating data quality rules, quality thresholds, quality scorecards, and rule libraries
• Experience supporting data profiling, data quality assessments, root cause analysis, and corrective-action tracking
• Experience monitoring data freshness, service-level agreements (SLAs), publication readiness criteria, and publication approval processes
• Experience developing governance-health metrics, quality dashboards, trend analyses, and executive reporting
• Experience collaborating with Data Owners, Data Stewards, Product Teams, Data Engineers, and Governance stakeholders to establish measurable quality requirements and remediation plans
• Familiarity with enterprise data governance, metadata management, stewardship processes, and governance reporting practices
• Familiarity with enterprise data catalog and governance tools such as Collibra EDC, Microsoft Purview, Alation, Informatica, or similar platforms
• Strong SQL, data analysis, reporting, and dashboard development skills
• Experience with Power BI or comparable reporting tools preferred
• Experience documenting quality findings, governance evidence, remediation activities, risks, and decisions to support traceability and continuous improvement
• Understanding of data privacy, records management, and compliance requirements within regulated environments
• Experience supporting Federal government, healthcare, or other highly regulated environments preferred
• Experience working in Agile, cross-functional delivery teams