Sr. Data Quality Analyst

Primary Responsibilities

• Leverage AI-Assisted data quality practices including GenAI based rule generation and test case creation
• Intelligent anomaly detection and pattern recognition
• Automated Triage and Summarization of Data quality issues
• Develop and automate data quality checks and controls using SQL, Python in Snowflake environment
• Implement data validation, reconciliation and anomaly detection logic across batch and streaming data pipelines
• Embed Automated Data quality checks into ETL/ELT pipelines to enforce quality gates and prevent defective data from propagating downstream
• Build reusable data quality automation components, libraries and frameworks that can be consistently adopted across data engineering teams
• Comply with and contribute to departmental standards related to data, data governance, project planning, validation and documentation
• Validate BI datasets, semantic models and dashboards by ensuring:
• Source-to-report data reconciliation
• Metric and KPI accuracy
• Agregation, filter and refresh correctness
• Familiarity with value based care and fee for service delivery models
• Apply interoperability standards (HL7, X12 FHIR) to ensure systems communicate reliably and securely
• Monitor and report on data quality metrics, and trends, including dashboard level data accuracy and consistency
• Enable AIOps-style data observability using AI-driven insights to proactively identify data drift, schema changes and metric anomalies
• Serve as a technical mentor and subject matter expert for the team, coaching newer engineers, driving knowledge sharing, establishing best practices, and promoting the adoption of AI-enabled data quality and automation frameworks across the organization

Qualifications

• Bachelor's degree in relevant field (Computer science, engineering or related technical field preferred)
• 4+ years of experience in Data Quality Engineering, with a strong focus on automation, and frameworks with a solid understanding of data quality dimensions (Accuracy, completeness, consistency, timeliness and validity)
• 4+ years of experience with SQL for data profiling, reconciliation and validation
• 4+ years of experience implementing automated data quality frameworks embedded within ETL/ELT workflows
• 3+ years of proven experience working in a Snowflake environment, supporting large-scale data pipelines and analytics platforms
• Proven experience of working within technical and business professionals in a matrix management environment, managing multiple priorities and deadlines
• Proven clearly demonstrated experience in in problem solving, data management and implementation
• Demonstrate advanced experience of leveraging AI for data validation, lineage, and pipelines
• Solid grounding of healthcare specific data exchange standards
• Strong communication skills with the ability to translate business reporting requirements into technical quality standards

Additional Information

All your information will be kept confidential according to EEO guidelines.

The salary range for this role is $127,000.00 to $150,000.00 in base pay and exclusive of any bonuses or benefits (medical, dental, vision, life, and pet insurance, 401K, paid time off, and other wellness programs).

This role is also eligible for an annual bonus targeted #PinnacleMethodConsulting