Job Summary- We are seeking a detail-oriented and analytical Quality Data Analyst with 3–5 years of experience. The ideal candidate will be responsible for monitoring data quality, identifying trends and anomalies, developing quality metrics, and supporting business teams with actionable insights to improve operational performance and data accuracy. Key Responsibilities 1.Analyze large datasets to identify quality issues, trends, and opportunities for process improvement. 2.Develop, monitor, and maintain data quality metrics, dashboards, and reports. 3.Perform data validation, cleansing, and integrity checks across multiple data sources. 4.Investigate root causes of data quality issues and recommend corrective actions. 5.Collaborate with business, operations, product, and technology teams to establish data quality standards and governance practices. 6.Design and execute quality audits to ensure compliance with organizational and regulatory requirements. 7.Create automated reporting solutions and quality monitoring frameworks. 8.Support continuous improvement initiatives through data-driven recommendations. 9.Document data quality processes, controls, and business rules. 10.Track KPIs and SLAs related to data accuracy, completeness, consistency, and timeliness. 11.Participate in UAT and quality testing activities for new systems, reports, and data pipelines. 12.Exposure to Python, coding 13.Relevant AI tools prior experience or enablement, certification are plus
