Data QA Analyst

We are seeking a detail-oriented Data QA Analyst to ensure the accuracy, quality, and reliability of data across various systems and processes. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and expertise in data validation, testing, and reporting. This role involves collaborating with cross-functional teams to maintain high data quality standards and support decision-making processes within the organization.

• Design and execute test plans, cases, and scripts to validate data accuracy and integrity across systems.
• Conduct thorough data quality checks and audits to identify and resolve inconsistencies, errors, or anomalies.
• Collaborate with data engineering and development teams to ensure data pipelines meet quality standards.
• Develop and implement automated testing solutions for data validation and reconciliation.
• Analyze test results, identify root causes of data issues, and provide actionable recommendations for improvement.
• Maintain comprehensive documentation of test cases, results, and data quality processes.
• Assist in defining and implementing data quality metrics and reporting mechanisms.
• Stay updated on best practices and tools in data quality assurance and testing.

Technical Competency

• Bachelor s or master s degree in computer science, Information Technology, or a related field.
• Proficient in SQL and experience with querying large datasets for validation and analysis.
• Familiarity with data quality tools and frameworks such as Talend, Informatica, or similar.
• Hands-on experience with ETL processes and understanding of data warehousing concepts.
• Knowledge of scripting languages (Python, R, or similar) for data validation and testing automation.
• Experience with BI tools like Tableau, Power BI, or Qlik for data visualization and reporting.
• Strong understanding of database systems (e.g., MySQL, PostgreSQL, Oracle).
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) for data operations is a plus.

Functional Competency

• Strong attention to detail to ensure high levels of data accuracy and reliability.
• Excellent analytical and problem-solving skills to identify and resolve data-related issues.
• Ability to work collaboratively with cross-functional teams and communicate technical concepts effectively.
• Understanding of data governance principles and practices.
• Strong organizational and time-management skills to manage multiple tasks and deadlines.
• Proactive mindset with a focus on continuous improvement in data quality processes