Data Quality Analyst

Key Responsibilities

Data Quality & Stewardship

• 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

Technical Data Management

• 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

Process Optimization & Collaboration

• 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