Key Responsibilities:
- Develop and maintain data quality standards and validation rules.
- Create test plans and test cases for data quality, ETL pipelines, dashboards, and reporting.
- Validate data throughout ingestion, staging, curation, and analytics layers.
- Monitor data quality metrics including accuracy, completeness, consistency, timeliness, and validity.
- Identify, document, and resolve data quality issues.
- Collaborate with business users, data stewards, developers, and analytics teams.
- Support metadata, data dictionaries, governance, lineage, and standardization.
- Participate in cloud data platform implementation and enhancements.
- Mandatory Skills
- Strong SQL (Intermediate+)
- Data Quality Testing & Validation
- Data Warehouse experience
- Cloud Data Platform experience
- Snowflake
- AWS Cloud
- Test Plans & Test Cases
- Tableau or another BI tool
- Excellent communication skills
- Experience gathering and maintaining data platform requirements
- Preferred Skills
- Public Health domain
- HL7
- HIPAA compliance
- Disease Surveillance systems
- Python, R, or SAS
- Power BI or AWS QuickSight
- Snowflake Certification
- Tableau Certification
Domain:
- Public Health
- Healthcare Analytics
- Government
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Data Analyst (Public Health Data Quality & Cloud Analytics)
Intellectt Inc
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