Data Governance Analyst

Qentelli LLC; Hyderabad; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Qentelli LLC is seeking a Data Governance Analyst in Hyderabad to ensure data quality, consistency, and regulatory compliance across business processes. You will define governance standards, manage critical data elements, perform root cause analysis, and support data lineage and metadata management.

The role requires strong SQL skills, data modeling and governance experience, plus excellent analytical and communication abilities to collaborate with both business and technical teams.

Qualifications

• Knowledge of data governance frameworks, principles and best practices.
• Proficiency in SQL and understanding of database concepts.
• Knowledge of data modeling and data management principles.
• Understanding of data quality standards and data validation.
• Experience or understanding of root cause analysis and data issue resolution.
• Strong analytical, problem-solving, and communication skills.
• Ability to collaborate effectively with business and technical teams.

Responsibilities

• Understand business processes and identify critical data elements and their governance requirements.
• Develop and maintain data quality standards, governance policies, and procedures.
• Perform root cause analysis of data defects and coordinate resolution efforts.
• Collaborate with business and technical stakeholders to define data requirements and metadata.
• Support data lineage tracking, documentation, and data management activities.
• Monitor compliance with data governance policies and standards.
• Ensure data reliability and consistency for reporting, analytics, risk management, and regulatory compliance.
• Support data modeling and management activities across structured and unstructured databases.

Skills

Data governance

SQL

Data modeling

Data quality

Root cause analysis

Analytics

Communication

Stakeholder collaboration

Tools

SQL databases

Metadata management tools

Job description

Role & responsibilities

We are looking for a Data Governance Analyst to ensure data quality, consistency, accuracy, and compliance across business processes. The role involves defining data governance standards, managing critical data elements, performing root cause analysis of data quality issues, maintaining data lineage, and collaborating with business and technical teams to support reliable reporting, analytics, risk management, and regulatory compliance.

Key Responsibilities:

• Understand business processes and identify critical data elements and their governance requirements.
• Develop and maintain data quality standards, governance policies, and procedures.
• Perform root cause analysis of data defects and coordinate resolution efforts.
• Collaborate with business and technical stakeholders to define data requirements and metadata.
• Support data lineage tracking, documentation, and data management activities.
• Monitor compliance with data governance policies and standards.
• Ensure data reliability and consistency for reporting, analytics, risk management, and regulatory compliance.
• Support data modeling and management activities across structured and unstructured databases.

Mandatory Skills:

• Knowledge of data governance frameworks, principles, and best practices.
• Proficiency in SQL and understanding of database concepts.
• Knowledge of data modeling and data management principles.
• Understanding of data quality standards and data validation.
• Experience or understanding of root cause analysis and data issue resolution.
• Strong analytical, problem-solving, and communication skills.
• Ability to collaborate effectively with business and technical teams.

Preferred candidate profile

• Knowledge of structured and unstructured database technologies.
• Familiarity with data governance and data quality tools.
• Understanding of metadata management and data lineage.
• Knowledge of data policies, regulatory compliance, and risk management.
• Experience in developing and maintaining data governance documentation.
• Exposure to reporting, analytics, and enterprise data management processes.