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