Data Quality Analyst - Model and Data Ownership

Job Description

Job Title: Data Quality Analyst - Model and Data Ownership

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Location: Charlotte, NC - Hybrid

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Duration: 12 months+ (Possibility of Extension/Conversion)

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Job Description:

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• Proactive data-quality checks: Establish checks that identify problematic data before it enters or impacts AML models.
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• Data profiling: Profile datasets to understand data characteristics, quality issues, anomalies, and potential problems.
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• Data issue / defect identification: Detect data defects or quality issues affecting the datasets used by AML models.
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• Data issue management and resolution: Track, investigate, and help remediate identified data-quality issues rather than simply reporting them.
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• Model-input quality assurance: Provide confidence that the data being supplied to AML models meets expected quality standards before it is consumed by the models.
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• Preventive controls / monitoring: Move the process from reactive detection to preventive monitoring so issues are caught earlier in the data lifecycle.
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Model and data ownership

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• Demonstrated accountability for analytical or quantitative models across implementation, maintenance, and controlled change processes.
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• Experience operating within governed environments requiring formal documentation, controls, and audit readiness.
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• Ability to independently challenge model assumptions and interpret outputs without serving as primary model developer.
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• Proficient in performing data analysis and validation using SQL in Teradata environments.
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• Ability to analyze large datasets to identify trends, issues, and insights supporting business decisions.
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• Experience monitoring, validating, and reporting on data quality metrics including accuracy, completeness, and timeliness.
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• Strong capability to conduct root cause analysis for data quality issues.
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• Demonstrated experience partnering with stakeholders to drive resolution of data defects and control gaps.
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• Proven experience managing complex projects with multiple stakeholders across technology, data, and business teams.
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• Ability to coordinate timelines, deliverables, dependencies, and risk issues to successful completion.
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EEO:

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“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans. ”