Data Analyst – Data Quality & Data Governance

Job description

**Job Description: 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 flows, mappings, and business rules clearly - Track record of working across business and IT stakeholder groups to resolve data issues **Preferred Qualifications** - Bachelor's degree in Information Management, Data Science, Statistics, Computer Science, or a related field - 3–6 years of experience in data quality, data governance, or data analytics roles - Certification in data management (e.g., CDMP) or relevant data governance tools - Prior experience in insurance, financial services, or highly regulated industries - Experience working in client-facing or consulting environments **Soft Skills & Competencies** - Strong communication skills – able to translate technical findings for non-technical business audiences - Detail-oriented with strong organizational and documentation habits - Collaborative and comfortable working in a cross-functional, client-facing environment - Proactive problem-solver who can work independently with minimal direction - Adaptable in fast-paced, evolving project environments **Responsibilities: 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 flows, mappings, and business rules clearly - Track record of working across business and IT stakeholder groups to resolve data issues **Preferred Qualifications** - Bachelor's degree in Information Management, Data Science, Statistics, Computer Science, or a related field - 3–6 years of experience in data quality, data governance, or data analytics roles - Certification in data management (e.g., CDMP) or relevant data governance tools - Prior experience in insurance, financial services, or highly regulated industries - Experience working in client-facing or consulting environments **Soft Skills & Competencies** - Strong communication skills – able to translate technical findings for non-technical business audiences - Detail-oriented with strong organizational and documentation habits - Collaborative and comfortable working in a cross-functional, client-facing environm