Data Quality Analyst

ICF's Digital Modernization Division delivers technology and management consulting solutions for federal clients and supports the modernization of enterprise data and analytics ecosystems. The Data Quality Analyst defines, monitors, and reports on data-quality rules, freshness SLAs, publication readiness, and governance-health metrics while coordinating with data stakeholders and supporting DataGov reporting and corrective-action tracking.

What you'll do:

• 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

What they're looking for:

• U.S. Citizenship is required due to federal contract requirements
• Candidate must be authorized to work in the U.S
• 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

Benefits:

• Remote work arrangement