Lead Assistant Manager-Data Management and Analytics-Data Ops/Data Analyst

Roles and Responsibilities for DQ Analyst Receive, review, and prioritize data quality exceptions reported periodically from various business units and stakeholders. Analyze root causes of data quality issues, assess the impact, and resolve exceptions in a timely manner. Collaborate with business and technical teams to communicate findings, clarify requirements, and coordinate effective resolution of data quality exceptions. Document exception trends, resolutions, and maintain logs to support ongoing monitoring and process improvement. Perform data extraction, cleansing, and validation tasks to ensure the integrity and consistency of critical datasets. Prepare data quality reports and dashboards using Power BI or similar tools, highlighting exception status and trends for management review. Recommend and implement process enhancements to reduce recurring data quality issues and improve overall data accuracy.Candidate Profile 3–8 years of experience in data quality management, exception handling, or data analysis, ideally within a centralized team environment. Demonstrated ability to identify, investigate, and resolve data quality exceptions and related issues. Hands-on experience with data quality tools such as Informatica Data Quality (IDQ), Collibra, IBM InfoSphere Information Governance Catalog, or Alation. Strong analytical, problem-solving, and statistical analysis capabilities. Advanced proficiency in SQL, Snowflake, and Power BI for data extraction, analysis, and reporting. Excellent communication and documentation skills for exception tracking and cross-team collaboration. Detail-oriented with proven success in driving process improvements and raising data quality standards. Solid understanding of Investment Fundamentals; exposure to Fixed Income is an added advantage.