Data Analyst Data Quality (Pune)

Key Responsibilities - Profile, assess, and document data quality issues across Claims and Underwriting data domains. - Define, implement, and monitor data quality rules, thresholds, and KPIs. - Support the development and rollout of the enterprise data governance framework including policies, standards, and business glossary. - Collaborate with business and IT stakeholders to identify data owners, stewards, and accountability structures. - Maintain data lineage documentation and contribute to the data catalog. - Conduct root cause analysis on data quality failures and track remediation progress. - Prepare data quality dashboards, scorecards, and status reports for leadership. - Participate in working sessions with stakeholder's Claims and Underwriting teams to align on data definitions and business rules. - Support change management and training activities related to governance adoption. Required Technical Skills Data & Analytics - SQL proficiency in querying, profiling, and validating large datasets - Python or R for data analysis, quality checks, and reporting - Microsoft Excel advanced use for data analysis and reporting - Data quality tools Informatica DQ, Collibra, Talend, or equivalent - Data catalog and metadata management tools Data Governance - Solid understanding of data governance frameworks (DAMA-DMBOK preferred) - Experience defining data standards, policies, and business glossaries - Familiarity with data stewardship, ownership, and accountability models - Knowledge of data classification, lineage, and master data management (MDM) - Awareness of regulatory and compliance requirements for insurance/financial data Domain Knowledge - Insurance industry experience Claims and/or Underwriting strongly preferred - Understanding of Claims lifecycle and Underwriting data structures - Familiarity with P&C; insurance data models Analytical & Process Skills - Experience conducting data profiling and root cause analysis - Ability to document data flo .