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Job Summary:

The Data Validation & Quality Assurance Lead is responsible for overseeing all validation and quality control activities related to RSIS datasets. This role ensures data accuracy, consistency, and compliance with federal performance metrics through rigorous audits and analysis, supporting the integrity of organizational data.

• Conduct field-level and cross-table data validation to ensure accuracy.
• Perform data quality audits to identify and resolve inconsistencies.
• Generate exception reports highlighting data anomalies.
• Analyze error trends to inform quality improvement initiatives.
• Develop and maintain quality metrics to monitor data standards.
• Recommend and implement process improvements to enhance data quality.

• Proficiency in SQL for data querying and validation.
• Experience with Tableau or similar reporting tools for data visualization.
• Knowledge of data quality frameworks and methodologies.
• Familiarity with federal performance metrics and reporting requirements.

• Advanced skills in data analysis and statistical methods.
• Experience in process improvement techniques such as Lean or Six Sigma.
• Strong communication skills for cross-functional collaboration.

• May require adherence to strict data security and confidentiality protocols.
• Attention to detail and accuracy are critical in all tasks.

• Standard business hours with potential for occasional extended hours during audit cycles.
• May require availability for urgent data quality issue resolution.