Data Quality Analyst

Job Summary We are seeking a senior-level Data Quality Analyst to support enterprise data quality operations within a modern Microsoft Fabric and Azure-based analytics environment. This role is responsible for ensuring end-to-end data integrity across enterprise reporting, analytics, operational, and investor-facing datasets. The ideal candidate will have strong expertise in SQL, data validation, reconciliation, and root-cause analysis, along with experience working in modern cloud-based analytics platforms. This position requires close collaboration with data engineering, analytics, finance, and business teams to maintain reliable, scalable, and high-quality enterprise data environments. This role is heavily focused on enterprise data quality governance, pipeline validation, testing, monitoring, and issue remediation rather than traditional reporting analysis. Key Responsibilities Own and maintain enterprise data validation processes across Microsoft Fabric and enterprise data warehouse environments Ensure data integrity from ingestion through reporting and analytics consumption Design, implement, and maintain automated data quality checks, validation rules, monitoring processes, and alerting mechanisms Perform source-to-target validation, row-count reconciliation, sampling validation, and defect detection across enterprise datasets Identify, triage, prioritize, and track data quality issues based on operational, financial, reporting, and business impact Conduct root-cause analysis for data quality issues and collaborate with stakeholders to implement corrective actions Validate enterprise dashboards, semantic models, analytics outputs, and reporting solutions Support finance, operations, and investor reporting functions through enterprise data validation activities Collaborate with Data Engineering, BI, analytics, and business teams to develop testing strategies and validation scenarios Manage enterprise Data Quality Issue Logs and remediation workflows Develop reusable testing assets, validation frameworks, and standardized data quality processes Monitor data quality metrics including completeness, consistency, freshness, and anomaly trends Create and maintain documentation related to: Validation standards Testing methodologies Remediation procedures Data governance practices Ensure compliance with enterprise data governance, privacy, audit, and regulatory requirements Required Qualifications 57+ years of experience in Data Quality, Data Validation, Data Governance, BI QA, ETL Testing, or related analytics roles Strong SQL skills with hands-on experience validating large enterprise datasets Experience working with enterprise cloud data platforms such as: Microsoft Fabric Azure Data Factory Databricks Synapse Similar analytics environments Strong understanding of: ETL/ELT pipelines Enterprise data warehousing Source-to-target reconciliation methodologies Experience validating dashboards and reporting solutions using Power BI or similar visualization tools Strong analytical, troubleshooting, and root-cause analysis skills Experience working in Agile delivery environments Ability to collaborate effectively with cross-functional technical and business teams Strong written and verbal communication skills Ability to work independently within complex enterprise analytics environments Preferred Qualifications Experience within real estate, property management, asset management, or investor reporting environments Experience with Yardi, SAP, or similar ERP/property management systems Exposure to Python, PySpark, notebook-based validation workflows, or automation scripting Experience supporting enterprise data governance frameworks and data quality standards Familiarity with audit-sensitive or regulated reporting environments Education: Bachelors Degree Education: Bachelors Degree