Master Data Specialist | Data Management Analyst

Employment Type: Full-Time

Level: Mid-Level to Senior

We are seeking a detail-oriented Master Data Specialist | Data Management Analyst to maintain high-quality master data, improve data-management processes, and support accurate and consistent business information across the organization. This role combines master data governance, data quality management, analysis, process improvement, and cross-functional collaboration to ensure critical business data remains accurate, complete, consistent, secure, and fit for operational and analytical use.

• Manage and maintain master data across business systems, databases, and enterprise applications.
• Create, update, validate, and maintain master records according to established standards and procedures.
• Manage customer, supplier, product, material, employee, financial, and other relevant master-data domains.
• Review data requests and ensure new or modified records meet defined requirements.
• Perform data validation, cleansing, standardization, enrichment, and deduplication activities.
• Identify inaccurate, incomplete, duplicated, inconsistent, or outdated master data.
• Investigate data-quality issues and coordinate corrective actions with relevant business teams.
• Establish and maintain data-quality rules, validation checks, and monitoring processes.
• Monitor key data-quality metrics and prepare regular reports for stakeholders.
• Analyze master-data structures to identify patterns, inconsistencies, and improvement opportunities.
• Support data governance initiatives and ensure master-data practices align with organizational standards.
• Maintain data dictionaries, business definitions, metadata, reference data, and documentation.
• Define and document data-management procedures, workflows, controls, and operating standards.
• Collaborate with business users to understand data requirements and resolve data-related issues.
• Work with IT and application teams to support master-data configuration, integration, and system changes.
• Support ERP, CRM, supply-chain, finance, procurement, and other enterprise systems that rely on master data.
• Coordinate master-data creation and maintenance across multiple systems and business units.
• Analyze data dependencies and assess the potential impact of master-data changes.
• Support data migration, system implementation, data consolidation, and transformation projects.
• Perform data mapping and reconciliation between source and target systems.
• Develop reports and dashboards to monitor data quality, completeness, accuracy, and compliance.
• Automate repetitive data-management and validation activities where possible.
• Support root-cause analysis for recurring data-quality problems.
• Recommend process improvements that reduce manual data-entry errors and improve operational efficiency.
• Establish appropriate approval and control processes for sensitive or critical master-data changes.
• Monitor data-management requests and ensure they are completed within agreed service levels.
• Support audits and provide evidence of data controls, approvals, and maintenance activities.
• Train business users on master-data standards, data-entry procedures, and data-quality requirements.
• Maintain appropriate confidentiality and security when handling business and customer information.
• Participate in data-governance meetings and contribute to continuous improvement initiatives.
• Stay informed about emerging data-management technologies, governance practices, and industry standards.

• Bachelor’s degree in Information Technology, Computer Science, Data Management, Business Analytics, Statistics, Finance, or a related field.
• Proven experience in master data management, data analysis, data quality, data governance, or a related discipline.
• Strong understanding of master-data concepts, data life cycles, data quality, and data governance.
• Experience managing structured business data across ERP, CRM, or other enterprise systems.
• Familiarity with customer, supplier, product, material, financial, or organizational master-data domains.
• Strong data validation, cleansing, standardization, and reconciliation skills.
• Experience identifying and resolving duplicate, incomplete, inconsistent, or inaccurate data.
• Proficiency in Microsoft Excel and experience working with large datasets.
• Knowledge of SQL and database concepts is advantageous.
• Familiarity with Power BI, Tableau, or other data visualization and reporting tools is beneficial.
• Experience with ERP…