Data Analyst – Data Quality & Data Governance

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 environment

Proactive problem-solver who can work independently with minimal direction

Adaptable in fast-paced, evolving project environments

Qualifications: 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