Data Quality Analyst Engineer (SAS + Data Governance) W2
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Job Location:
Charlotte, VT - USA
Monthly Salary:
Not Disclosed
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
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.
- 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.
