What are the responsibilities and job description for the Data Quality Assurance Analyst position at Largeton Group?
Senior Data Quality Assurance Analyst
- Support the Client's Data Modernization Initiative by ensuring high data quality in public health data systems.
- Develop, implement, and maintain data quality standards, validation processes, and monitoring procedures for state public health datasets.
- Design and execute test plans and test cases to validate data quality, data pipelines, and reporting dashboards based on business and compliance requirements.
- Collaborate with epidemiologists, analytics teams, developers, and program staff to maintain data integrity and resolve data quality issues.
- Monitor key data quality dimensions such as accuracy, completeness, consistency, timeliness, and validity.
- Document and communicate data quality findings to both technical and business stakeholders, providing actionable recommendations.
- Support the development and maintenance of metadata, data dictionaries, and business rules to improve data governance and stewardship.
- Validate data throughout the ingestion process, from staging to analytics, ensuring technical integrity of cloud-based data platforms.
- Participate in data governance activities, including access controls, data lineage, and standardization.
- Assist with system enhancements, onboarding new data sources, and policy-driven changes with robust quality assurance processes.
- Utilize analytic tools (R, Python, SAS), BI/reporting tools (Tableau, Power BI), SQL, and work with cloud platforms (AWS, Snowflake).
- Ensure compliance with state data standards (e.g., HL7), HIPAA, privacy laws, and data use agreements.
- Experience in public health data systems, AWS, and Snowflake.
- Certifications in Snowflake and/or business intelligence tools (e.g., Tableau).
Salary : $50 - $55