Data Quality Analyst II

Role overview Improve the accuracy, completeness, and reliability of program data by finding quality issues and developing ways to prevent them. The role works with data operations and reporting teams to analyze varied datasets, build automated reporting and monitoring, and make data more dependable and accessible for program decisions.

Responsibilities - Analyze structured and unstructured data from multiple sources, identify inconsistencies, and develop methods to correct or prevent data quality problems. - Create and maintain data quality standards, procedures, validation checks, and reports. - Review data ingestion and transformation artifacts to support validation and analysis. - Develop scripts, dashboards, and automated reports; monitor data flows and report quality over time. - Perform statistical tests and ad hoc analysis, document findings, and recommend process improvements. - Collaborate with data, reporting, and project teams to update solutions; present results, train users, and review colleagues’ work for quality.

Requirements - Bachelor’s degree or higher in computer science, information technology, mathematics, data analytics, or a related field; a data-focused or mathematics-related degree is specified. - At least five years of experience in data analytics. - Advanced Excel skills, including pivot tables, formulas, and conditional formatting. - Experience with SQL, R, or Python and data visualization tools; familiarity with tools such as Power BI, Tableau, or QuickSight is relevant. - Experience with Agile methods such as SAFe or Scrum and collaboration tools such as Jira and Confluence. - Strong communication, problem-solving, and teamwork skills; able to work to deadlines and obtain and maintain Public Trust clearance. The source also requires having lived in the United States for three of the past five years.

Nice to have - SAFe certification, GitHub experience, or familiarity with healthcare IT, HIPAA, and government health program processes and standards.

Benefits and work setup The source describes hybrid work, flexible paid time off, health coverage, a 401(k) with employer contributions, and training and development opportunities.