Master Data Specialist | Data Management Analyst

🗃️ We’re Hiring: 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. 🎯 Key Responsibilities • 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 • Identify inaccurate, incomplete, duplicated, inconsistent, or outdated master data.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. ✅ Requirements • 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 lifecycles, 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 platforms such as SAP, Oracle, Microsoft Dynamics, or equivalent systems is preferred. • Understanding of CRM and enterprise application data structures is advantageous. • Experience with data migration, integration, or system implementation projects is beneficial. • Strong analytical and problem-solving abilities. • Excellent attention to detail and data accuracy. • Ability to investigate complex data issues and determine appropriate corrective actions. • Strong understanding of data governance principles and data-quality controls. • Ability to document data definitions, business rules, workflows, and procedures clearly. • Strong communication and stakeholder-management skills. • Ability to collaborate effectively with business, IT, Finance, Operations, Procurement, Sales, and Supply Chain teams. • Strong organizational and time-management skills. • Ability to manage multiple data requests and projects simultaneously. • Understanding of data privacy, access controls, confidentiality, and information-security principles. • Experience with data-quality tools, master-data management platforms, or governance solutions is advantageous. • Proactive approach to identifying and preventing data-quality issues. • Relevant certifications in data management, data governance, analytics, or related fields are beneficial. 🌟 What We Offer • Competitive salary and comprehensive employee benefits. • Opportunity to work with enterprise-scale data and business systems. • Exposure to master data management, data governance, analytics, and digital transformation. • Professional development in data management, data quality, governance, and business analytics. • Opportunities to work with ERP, CRM, and enterprise data platforms. • Training and support for relevant technical and professional certifications. • Opportunities to participate in data migration, system implementation, and transformation projects. • Collaborative environment involving IT, Finance, Operations, Procurement, Sales, and Business teams. • Recognition for improving data quality, accuracy, and operational efficiency. • • Career progression toward Senior Master Data Specialist, Data Governance Analyst, Data Quality Manager, Data Management Manager, or Head of Data Management.

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 lifecycles, 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 platforms such as SAP, Oracle, Microsoft Dynamics, or equivalent systems is preferred. Understanding of CRM and enterprise application data structures is advantageous. Experience with data migration, integration, or system implementation projects is beneficial. Strong analytical and problem-solving abilities. Excellent attention to detail and data accuracy. Ability to investigate complex data issues and determine appropriate corrective actions. Strong understanding of data governance principles and data-quality controls. Ability to document data definitions, business rules, workflows, and procedures clearly. Strong communication and stakeholder-management skills. Ability to collaborate effectively with business, IT, Finance, Operations, Procurement, Sales, and Supply Chain teams. Strong organizational and time-management skills. Ability to manage multiple data requests and projects simultaneously. Understanding of data privacy, access controls, confidentiality, and information-security principles. Experience with data-quality tools, master-data management platforms, or governance solutions is advantageous. Proactive approach to identifying and preventing data-quality issues. Relevant certifications in data management, data governance, analytics, or related fields are beneficial.

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.