Senior Data Analyst

Role Overview: IntVerse.io is an AI-first technology services and consulting firm that focuses on building, running, and enhancing data and platform capabilities for clients. As a Senior Data Analyst at IntVerse.io, you will be responsible for leading data quality and governance within a strategic data governance engagement for a large global organization. You will work closely with the client's data owners, regional teams, and technology stakeholders to ensure consistent and auditable outcomes. Key Responsibilities: - Lead the review, validation, and approval of complex product mapping outputs across systems and regions. - Identify and resolve recurring data quality issues with structured root cause analysis and permanent corrective rules. - Define, document, and refine mapping rules, validation frameworks, and decision logic for consistent outcomes. - Make judgment calls on ambiguous mappings and exceptions with clear rationale. - Ensure adherence to client's mapping standards, governance frameworks, and data policies across all regions. - Act as a subject matter expert for the mapping process and product data hierarchy structures. - Collaborate with client's teams to resolve cross-system issues and provide decision support on data-related topics. - Drive continuous improvement of validation processes, controls, and data quality frameworks. - Mentor junior analysts and review team outputs for quality and compliance with governance standards. Qualification Required: - Minimum 8 years of experience in data analysis, data quality, or master data management. - Hands-on experience in defining, applying, and governing product master data and data governance frameworks. - Advanced Excel skills with the ability to work with complex formulas and large datasets. - Strong analytical thinking and problem-solving skills to identify patterns and root causes of data issues. - Ability to work in a structured, process-driven environment with a high degree of ownership and professional judgment. - Fluent in written and spoken English. (Note: Any additional details about the company were not included in the provided job description.) Role Overview: IntVerse.io is an AI-first technology services and consulting firm that focuses on building, running, and enhancing data and platform capabilities for clients. As a Senior Data Analyst at IntVerse.io, you will be responsible for leading data quality and governance within a strategic data governance engagement for a large global organization. You will work closely with the client's data owners, regional teams, and technology stakeholders to ensure consistent and auditable outcomes. Key Responsibilities: - Lead the review, validation, and approval of complex product mapping outputs across systems and regions. - Identify and resolve recurring data quality issues with structured root cause analysis and permanent corrective rules. - Define, document, and refine mapping rules, validation frameworks, and decision logic for consistent outcomes. - Make judgment calls on ambiguous mappings and exceptions with clear rationale. - Ensure adherence to client's mapping standards, governance frameworks, and data policies across all regions. - Act as a subject matter expert for the mapping process and product data hierarchy structures. - Collaborate with client's teams to resolve cross-system issues and provide decision support on data-related topics. - Drive continuous improvement of validation processes, controls, and data quality frameworks. - Mentor junior analysts and review team outputs for quality and compliance with governance standards. Qualification Required: - Minimum 8 years of experience in data analysis, data quality, or master data management. - Hands-on experience in defining, applying, and governing product master data and data governance frameworks. - Advanced Excel skills with the ability to work with complex formulas and large datasets. - Strong analytical thinking and problem-solving skills to identify patterns and root causes of data issues. - Ability to work in a structured, process-driven environment with a high degree of ownership and professional judgment. - Fluent in written and spoken English. (Note: Any additional details about the company were not included in the provided job description.)