Data Quality Analyst

Please note:

This role is contingent upon a contract award. While it is not an immediate opening, we are actively conducting interviews and extending offers in anticipation of the award.

At ICF our Digital Modernization Division is an information technology and management consulting organization that delivers integrated, strategic solutions to federal clients. We bring expertise in cloud, cybersecurity, enterprise architecture, data modernization, and digital transformation to support mission-critical government programs.

Join a team accelerating the modernization of a large federal agency's enterprise data and analytics ecosystem. This cloud-based platform provides data storage, analytics, governance, and AI/ML capabilities that enable thousands of users to transform data into actionable insights. As demand continues to grow, the team is focused on migrating legacy workloads, streamlining onboarding and support, expanding platform capabilities, and helping organizations across the enterprise adopt modern data and AI solutions at scale.

The Data Quality Analyst 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 Data Gov reporting, quality trend analysis, corrective-action tracking, and customer confidence in published data.

Job Location: Remote, however, strong preference for candidates who live in the Washington DC Metro Area. There will be occasional onsite meetings on the client site in Washington, DC.

* If you accept this position, you should note that ICF does monitor employee work locations, blocks access from foreign locations/foreign IP addresses, and prohibits personal VPN connections.

• 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 Data Gov 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.

• U.S. Citizenship is required due to federal contract requirements.
• Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed 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.

• 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…