MDM Data Quality Analyst

Job Description MDM Data Quality AnalystPosition Summary We are seeking an experienced MDM Data Quality Analyst to support a large-scale Master Data Management (MDM) initiative focused on creating a unified client/member view across multiple programs and data sources. This role will be responsible for data quality analysis, data profiling, testing, validation, requirements gathering, and data governance activities that support enterprise MDM operations. The selected candidate will work closely with technical and business stakeholders to ensure data accuracy, consistency, integrity, and overall data quality across the MDM platform. Key Responsibilities

• Develop and maintain complex SQL queries to support MDM solutions.
• Perform data analysis, profiling, validation, reconciliation, and quality assessments.
• Analyze data anomalies, matching issues, and client/member record quality concerns.
• Support database objects including tables, views, and stored procedures.
• Execute and maintain scripts supporting MDM processes and operations.
• Participate in unit, integration, system, and user acceptance testing (UAT).
• Gather and document business and technical requirements.
• Support data governance and data stewardship initiatives.
• Document findings, recommendations, and remediation opportunities resulting from data quality reviews.
• Collaborate with project teams to identify and recommend technical solutions.
• Support production validation activities and issue resolution efforts.
• Utilize data analytics to improve program effectiveness and business outcomes.

• 5+ years of experience in Data Quality, Data Analysis, MDM, Data Governance, Business Analysis, or Data Management.
• Experience working with Informatica MDM or similar Master Data Management platforms.
• Strong SQL skills with experience working with large relational databases.
• Experience performing data profiling, data validation, reconciliation, testing, and data quality analysis.
• Experience gathering and documenting business and technical requirements.
• Experience supporting QA, UAT, and system testing activities.
• Knowledge of data quality, matching, standardization, reconciliation, and governance concepts.
• Strong analytical, troubleshooting, and problem-solving skills.
• Experience supporting MDM operations and SDLC delivery.
• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field (or equivalent experience).

Preferred Qualifications

• Experience with additional MDM platforms, including cloud-based MDM solutions.
• State government, public sector, or regulated industry experience.
• Healthcare, Medicaid, claims, eligibility, provider, or human services data experience.
• Experience working in Agile/Scrum environments.
• Python scripting experience for automation, testing, data validation, or profiling.
• Exposure to EDI/X12, XML, JSON, APIs, HL7, or FHIR.
• Experience with Azure, Azure Data Factory (ADF), Databricks, Snowflake, Data Lakes, or similar cloud technologies.
• Experience supporting cloud migration, MDM modernization, EDW modernization, or ETL modernization initiatives.
• Exposure to AI/ML, GenAI, or automation technologies is a plus.

Work Arrangement

• 100% Remote
• Candidates must reside within the Continental United States.
• Midwest or Central U.S. candidates preferred.
• Occasional travel may be required.

Ideal Candidate Strong candidates will have a blend of MDM, SQL, data quality, testing, governance, and business analysis experience, along with a proven ability to work across technical and business teams to improve data accuracy, consistency, and reliability within enterprise data environments.