Data Quality Analyst

We are hiring a Data Quality Analyst to support data accuracy, consistency, completeness, and integrity across enterprise systems in Atlanta, GA. This role will analyze data quality issues, perform validation and reconciliation, establish quality controls, and work with business and technical teams to resolve data-related issues.

The ideal candidate will have strong SQL and analytical skills, a detail-oriented approach to data validation, and experience working with large datasets and business applications.

Responsibilities

• Monitor and assess data accuracy, completeness, consistency, and integrity.

• Perform data profiling, validation, reconciliation, and quality analysis.

• Identify data anomalies, duplicates, inconsistencies, and quality issues.

• Develop and execute data quality checks and validation rules.

• Write SQL queries to investigate and validate data.

• Work with technical and business teams to identify root causes of data issues.

• Document data quality findings, rules, and remediation activities.

• Track and report data quality metrics and trends.

• Support data cleansing, standardization, and remediation initiatives.

• Assist with data governance and master data management activities.

• Develop reports and dashboards to monitor data quality performance.

• Recommend process and system improvements to prevent recurring data issues.

Required Qualifications

• 2-5 years of experience in data quality, data analysis, data management, or a related field.

• Strong SQL skills and experience working with relational databases.

• Experience with data validation, reconciliation, profiling, or cleansing.

• Strong Microsoft Excel skills.

• Excellent attention to detail and analytical skills.

• Ability to investigate data issues and identify root causes.

• Strong communication and documentation skills.

• Ability to work on-site in Atlanta, GA.

Preferred Qualifications

• Experience with Power BI or Tableau.

• Experience with Snowflake or cloud data platforms.

• Knowledge of data governance and master data management.

• Experience with Salesforce, Microsoft Dynamics, or other enterprise applications.

• Familiarity with ETL/ELT processes and data pipelines.

• Experience with Python or other data-processing tools.

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, or a related field.