Data Analyst – Data Quality & Data Governance
EXL · India
Business Consulting and Services · 10,001+ employees
6 h ago
Senior (5-10 yrs)
Full-time
India
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About the role
The role focuses on profiling and documenting data quality issues within Claims and Underwriting domains while implementing governance frameworks and KPIs. It involves collaborating with stakeholders to establish data ownership, maintain lineage, and create quality dashboards for leadership.
What they look for
SQL
Python
R
Microsoft Excel
Informatica DQ
Collibra
Talend
Data Governance
Data Profiling
Root Cause Analysis
Data Lineage
Master Data Management
DAMA-DMBOK
Data Cataloging
Insurance Domain Knowledge
Data Quality Monitoring
Requirements
Candidates should have 3-6 years of experience in data quality or governance, preferably within the insurance or financial services industry. Technical proficiency in SQL, Python/R, and data governance tools like Collibra or Informatica is required.
Full 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
