Data Quality Analyst

Job Title: Data Quality Analyst - Model and Data OwnershipLocation: Charlotte, NC - HybridDuration: 12 months+ (Possibility of Extension/Conversion)The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.Job Description:Proactive data-quality checks: Establish checks that identify problematic data before it enters or impacts AML models.Data profiling: Profile datasets to understand data characteristics, quality issues, anomalies, and potential problems.Data issue / defect identification: Detect data defects or quality issues affecting the datasets used by AML models.Data issue management and resolution: Track, investigate, and help remediate identified data-quality issues rather than simply reporting them.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.Preventive controls / monitoring: Move the process from reactive detection to preventive monitoring so issues are caught earlier in the data lifecycle.Model and data ownershipDemonstrated accountability for analytical or quantitative models across implementation, maintenance, and controlled change processes.Experience operating within governed environments requiring formal documentation, controls, and audit readiness.Ability to independently challenge model assumptions and interpret outputs without serving as primary model developer.Proficient in performing data analysis and validation using SQL in Teradata environments.Ability to analyze large datasets to identify trends, issues, and insights supporting business decisions.Experience monitoring, validating, and reporting on data quality metrics including accuracy, completeness, and timeliness.Strong capability to conduct root cause analysis for data quality issues.Demonstrated experience partnering with stakeholders to drive resolution of data defects and control gaps.Proven experience managing complex projects with multiple stakeholders across technology, data, and business teams.Ability to coordinate timelines, deliverables, dependencies, and risk issues to successful completion. xhyhwjd EEO:"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."