Data Analyst – Data Quality & Data Governance

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 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 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