Senior Data Quality Analyst

Base pay range

$50.00/hr - $55.00/hr

The Senior Data Quality Analyst is responsible for ensuring the accuracy, completeness, and timeliness of data within a large-scale health information system. This role focuses on validating, standardizing, and transforming data submitted by external partners into reliable, actionable insights that support program operations and reporting.

• Analyze and assess data quality across multiple internal and external data sources.
• Develop, execute, and maintain data validation, transformation, and cleansing routines using SQL/T-SQL and related tools.
• Identify, document, and resolve data anomalies, inconsistencies, and integrity issues.
• Collaborate with data owners and stakeholders to define, implement, and enforce data quality rules and standards.
• Design and maintain data quality dashboards, scorecards, and exception reports.
• Support data governance initiatives, including metadata documentation and data lineage mapping.
• Perform root cause analysis on recurring data issues and recommend process or system improvements.
• Work with business and technical stakeholders to understand data requirements and ensure data meets operational and reporting needs.
• Develop performance metrics and reports to track data accuracy, completeness, timeliness, and external partner compliance.
• Prepare clear, concise reports and visualizations for leadership that communicate trends, patterns, and potential risks.
• Perform additional duties as assigned.

• Two (2) or more years of experience in a data quality, data analysis, or data governance role.
• Strong proficiency in SQL/T-SQL for querying, analyzing, and troubleshooting large datasets.
• Experience working in cloud-based analytics or data environments (e.g., Azure, AWS, GCP, or equivalent platforms).
• Demonstrated analytical and problem‑solving skills with attention to detail.
• Excellent written and verbal communication skills, including technical documentation.
• Experience using reporting and visualization tools such as Power BI or Tableau.
• Knowledge of health data exchange standards and messaging formats.
• Experience applying data quality frameworks, validation rules, and record‑matching techniques.
• Exposure to public sector, healthcare, or clinical data exchange environments.
• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field, or equivalent professional experience.

Mid‑Senior level

Contract

Information Technology

Public Health