Data Quality Analyst

Role Overview: As a Data Quality & Stewardship Specialist, you will be responsible for ensuring high-quality company, property, and contact data across enterprise systems. Your role will involve performing data stewardship activities to enrich, validate, and maintain data integrity, as well as leveraging tools and sources to improve data reliability. Key Responsibilities: - Perform end-to-end data stewardship activities to enrich, validate, and maintain high-quality company, property, and contact data across enterprise systems. - Apply data quality rules, validation checks, and monitoring mechanisms to ensure accuracy, consistency, and completeness of datasets. - Conduct data profiling, cleansing, deduplication, and standardization across multiple data sources and platforms. - Leverage internal tools and external data sources to improve data integrity and reliability. - Write and optimize intermediate to advanced SQL queries for data extraction, transformation, and analysis. - Work with Azure Databricks for large-scale data processing, data validation, and quality assessment tasks. - Develop automated workflows and reporting solutions for continuous data quality monitoring. - Support Master Data Management (MDM) initiatives and enterprise-wide data governance programs. - Assist in building and maintaining scalable data models and structured datasets for analytics use cases. - Identify gaps in existing data processes and recommend improvements for efficiency and accuracy. - Collaborate with cross-functional teams including business, analytics, and engineering stakeholders to resolve data issues. - Ensure proper escalation and resolution of data quality incidents in a timely manner. - Document data lineage, stewardship procedures, and quality metrics for governance and compliance. - Support ongoing data governance and analytics transformation initiatives. Role Overview: As a Data Quality & Stewardship Specialist, you will be responsible for ensuring high-quality company, property, and contact data across enterprise systems. Your role will involve performing data stewardship activities to enrich, validate, and maintain data integrity, as well as leveraging tools and sources to improve data reliability. Key Responsibilities: - Perform end-to-end data stewardship activities to enrich, validate, and maintain high-quality company, property, and contact data across enterprise systems. - Apply data quality rules, validation checks, and monitoring mechanisms to ensure accuracy, consistency, and completeness of datasets. - Conduct data profiling, cleansing, deduplication, and standardization across multiple data sources and platforms. - Leverage internal tools and external data sources to improve data integrity and reliability. - Write and optimize intermediate to advanced SQL queries for data extraction, transformation, and analysis. - Work with Azure Databricks for large-scale data processing, data validation, and quality assessment tasks. - Develop automated workflows and reporting solutions for continuous data quality monitoring. - Support Master Data Management (MDM) initiatives and enterprise-wide data governance programs. - Assist in building and maintaining scalable data models and structured datasets for analytics use cases. - Identify gaps in existing data processes and recommend improvements for efficiency and accuracy. - Collaborate with cross-functional teams including business, analytics, and engineering stakeholders to resolve data issues. - Ensure proper escalation and resolution of data quality incidents in a timely manner. - Document data lineage, stewardship procedures, and quality metrics for governance and compliance. - Support ongoing data governance and analytics transformation initiatives.