Job Description

We are seeking a detail-oriented and analytical Data Quality Analyst to ensure the accuracy, consistency, completeness, and integrity of enterprise data assets. The successful candidate will be responsible for validating datasets, identifying data quality issues, monitoring data ingestion processes, and supporting data governance initiatives to maintain high-quality data across organizational platforms.

The ideal candidate will have strong experience in data validation, data profiling, quality assurance, and data transformation, with the ability to analyze complex datasets and recommend corrective actions to improve overall data quality.

Key Responsibilities

Data Quality Management

• Review datasets to ensure structural integrity, consistency, and compliance with established data standards.
• Perform data validation and profiling to identify missing, duplicate, inconsistent, or inaccurate data.
• Analyze data quality trends and recommend improvements to enhance overall data reliability.
• Support data cleansing and remediation activities in collaboration with data owners and technical teams.

Data Validation & Testing

• Validate data transformation outputs to ensure data is accurately processed and loaded into target systems.
• Perform quality assurance testing for data migration, ETL/ELT processes, and data integration workflows.
• Verify data completeness, accuracy, and consistency throughout the data lifecycle.
• Develop and execute validation rules, test cases, and quality checks.

Data Monitoring

• Monitor data ingestion processes and track data quality metrics.
• Identify anomalies, data discrepancies, and processing failures.
• Investigate root causes of data quality issues and coordinate corrective actions.
• Generate regular reports and dashboards on data quality performance and compliance.

Data Governance Support

• Support enterprise data governance initiatives by enforcing data quality standards and policies.
• Collaborate with Data Stewards, Data Curation Leads, and technical teams to improve data quality processes.
• Assist in implementing data quality frameworks, controls, and best practices.
• Maintain documentation for data validation procedures, quality rules, and issue resolution activities.

Reporting & Stakeholder Collaboration

• Prepare data quality reports and present findings to stakeholders.
• Communicate data quality issues, risks, and recommendations effectively.
• Work closely with business users, developers, ETL engineers, and data governance teams to resolve quality concerns.
• Participate in data governance meetings and continuous improvement initiatives.

Required Technical Skills

• Data Quality Management
• Data Validation
• Data Profiling
• Data Cleansing
• Data Quality Assurance (QA)
• ETL/ELT Validation
• Data Transformation Validation
• Data Integrity & Consistency Checks
• Data Analysis and Reporting
• SQL for Data Validation
• Microsoft Excel
• Data Governance Principles
• Root Cause Analysis
• Data Quality Metrics & Reporting

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, or a related field.
• Minimum 5+ years of experience in data validation, data profiling, data quality assurance, or related roles.
• Experience working with enterprise data management or data governance initiatives.