Data Analyst – Data Quality & Data Governance at EXL Service · HyrikoBack to jobsLocation:Bengaluru, Karnataka, IndiaType:Full-timePosted:Yesterday 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
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Data quality tools – Informatica DQ, Collibra, Talend, or equivalent- Data catalog and metadata management tools
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Insurance industry experience – Claims and/or Underwriting strongly preferred
- Understanding of Claims lifecycle and Underwriting data structures
- Familiarity with P&C insurance data models
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