Data Quality Analyst / Engineer (SAS + Data Governance) -W2

Job Summary:

- Participate in a high-priority data quality initiative for a leading financial services client.
- Develop, test, and deploy data quality rules using SAS across large, complex datasets.
- Analyze and profile data to detect quality issues, anomalies, and data gaps.
- Translate business and data requirements into data quality rules, validations, and monitoring logic.
- Integrate data quality outputs into data governance platforms (such as Alation, Manta, Collibra).
- Collaborate with data stewards, engineers, and business teams to establish and refine data quality standards.
- Document rules, logic, and data lineage to support auditability and regulatory compliance.
- Assist in automating and scaling data quality frameworks to replace manual processes.
- Support remediation activities and continuous monitoring of data quality KPIs.
- Utilize strong SQL and SAS skills to manage and improve large enterprise datasets.
- Work within regulated environments, ensuring compliance with audit and regulatory requirements.
- Preferred: Experience with Snowflake, cloud data platforms, and integrating data quality into reporting workflows.
- Demonstrate strong problem-solving skills, attention to detail, and stakeholder management abilities.
- Thrive in fast-paced, ambiguous environments with a focus on execution and delivery.