Data Governance Analyst

Role: Data Governance Analyst
Location: India/Remote
Long-term Contract
Shift Hours: Willing to work until 2 to 2:30 am IST
Job Description:
Role Overview
The Data Governance Analyst will support data governance initiatives across the organization, ensuring the accuracy, consistency, completeness, integrity, and appropriate use of business-critical data. The role involves collaborating with business and technology teams to establish data governance standards, improve data quality, maintain data documentation, and support regulatory and compliance requirements.
The ideal candidate will have experience in data governance, data quality management, metadata management, and data analysis, preferably within the property and casualty insurance industry or another regulated financial services environment.
Key Responsibilities
Support the development, implementation, and maintenance of data governance policies, standards, procedures, and controls.
Collaborate with business stakeholders, data owners, data stewards, and IT teams to establish data ownership, accountability, and governance practices.
Assess and monitor data quality across business-critical datasets, identifying issues related to accuracy, completeness, consistency, validity, and timeliness.
Investigate data quality issues, conduct root cause analysis, and coordinate remediation with relevant stakeholders.
Maintain data dictionaries, business glossaries, metadata repositories, data definitions, and data lineage documentation.
Support governance of insurance-related data, including policy, claims, underwriting, property, and risk-related information, as applicable.
Define and monitor data quality rules, business validation checks, governance metrics, KPIs, and reporting requirements.
Support data classification, access management, data retention, privacy, and information protection initiatives.
Assist in ensuring data management practices align with applicable regulatory, compliance, audit, and internal control requirements.
Document data flows, business rules, data dependencies, and critical data elements across systems.
Work with business and technical teams to identify opportunities to improve data processes, reporting reliability, and data consistency.
Prepare data governance reports, track remediation activities, and communicate progress, risks, and issues to stakeholders.
Participate in data governance forums, working groups, audits, and continuous improvement initiatives.
Required Qualifications and Skills
Bachelor's degree in Computer Science, Information Systems, Data Management, Business Analytics, or a related field.
Relevant experience in data governance, data quality, data management, data analysis, or business analysis.
Understanding of data governance principles, frameworks, policies, standards, and controls.
Experience with data profiling, data validation, data quality assessments, and issue remediation.
Knowledge of metadata management, data lineage, business glossaries, data dictionaries, and data stewardship.
Understanding of data privacy, information security, regulatory compliance, and audit requirements.
Strong analytical, problem-solving, documentation, and communication skills.
Ability to collaborate effectively with business, compliance, risk, and technology stakeholders.
Proficiency in Microsoft Excel and experience preparing data quality reports and governance documentation.
Basic SQL knowledge for data validation, querying, and analysis is preferred.
Preferred Qualifications
Experience in property and casualty (P&C) insurance, homeowners insurance, underwriting, claims, or insurance operations.
Familiarity with data governance frameworks such as DAMA-DMBOK.
Exposure to data governance and cataloging tools such as Collibra, Alation, Informatica, or Microsoft Purview.
Experience with data quality tools, master data management, and data catalog solutions.
Knowledge of SQL and reporting or visualization tools such as Power BI or Tableau.
Exposure to insurance regulatory compliance, data audits, and risk management practices.
Key Competencies
Attention to detail and commitment to data accuracy.
Strong analytical and root cause analysis capabilities.
Effective stakeholder management and cross-functional collaboration.
Structured documentation and process management.
Ability to manage multiple priorities and drive data quality improvements.

Work arrangement
Yes