Master Data Specialist | Data Management Analyst

Position Overview

Pharma Q is looking for a meticulous Master Data Specialist | Data Management Analyst to ensure the integrity, accuracy, and consistency of master data throughout the organization. This role plays a critical part in data governance, quality management, process optimization, and cross-department collaboration to maintain reliable business information for both operational and analytical purposes.

Key Responsibilities

• Oversee master data administration across various business systems, databases, and enterprise applications.
• Create, update, validate, and sustain master records based on defined protocols and procedures.
• Manage master data related to customers, suppliers, products, materials, employees, financials, and other relevant domains.
• Evaluate data requests and verify that new or modified master records comply with established criteria.
• Conduct data cleansing, validation, standardization, enrichment, and removal of duplicate entries.
• Detect and address inaccurate, incomplete, duplicated, inconsistent, or outdated master data.
• Coordinate with internal teams to resolve data quality issues and implement corrective measures.
• Define and apply data quality rules, validation checks, and monitoring mechanisms.
• Track key metrics related to data quality and generate periodic reports for stakeholders.
• Analyze master data structures to identify inconsistencies and opportunities for enhancement.
• Support data governance initiatives ensuring adherence to organizational policies.
• Maintain documentation, including data dictionaries, business definitions, metadata, and reference data.
• Establish and document standard data management procedures, workflows, and controls.
• Collaborate with business users to clarify data requirements and troubleshoot data issues.
• Partner with IT and application teams to facilitate master data configuration, integration, and system modifications.
• Support enterprise systems such as ERP, CRM, supply chain, finance, and procurement relying on master data.
• Coordinate master data creation and upkeep across multiple systems and business units.
• Examine data dependencies and anticipate the impact of changes to master data.
• Assist in data migration, system deployments, data consolidation, and transformation initiatives.
• Perform data mapping and reconciliation between source and destination systems.
• Develop dashboards and reports for monitoring data completeness, accuracy, and compliance.
• Automate repetitive data management and validation tasks where feasible.
• Conduct root-cause analysis for repeated data quality challenges and propose improvements.
• Implement approval and control processes for critical or sensitive master data changes.
• Ensure data management requests are handled within agreed service levels.
• Support audit processes by supplying evidence of data controls, approvals, and maintenance activities.
• Train business personnel on master data standards, entry procedures, and quality expectations.
• Maintain confidentiality and security of business and customer data throughout handling.
• Engage in data governance meetings and contribute to ongoing improvements.
• Keep updated with emerging data management technologies, governance methods, and industry standards.

Candidate Requirements

• Bachelor’s degree in Information Technology, Computer Science, Data Management, Business Analytics, Statistics, Finance, or related disciplines.
• Demonstrated experience in master data management, data analysis, data quality assurance, or governance.
• Comprehensive understanding of master data concepts, data lifecycle management, quality controls, and governance frameworks.
• Hands-on experience managing structured data across ERP, CRM, or other enterprise platforms.
• Familiarity with master data domains including customers, suppliers, products, materials, finance, and organizational data.
• Expertise in data validation, cleansing, standardization, and reconciliation techniques.
• Proven ability to identify and resolve issues such as duplicates, incomplete, inconsistent, or erroneous data.
• Proficient with Microsoft Excel and experience handling large datasets effectively.
• Knowledge of SQL and database principles is a plus.
• Experience with data visualization and reporting tools like Power BI or Tableau is advantageous.
• Exposure to ERP systems such as SAP, Oracle, Microsoft Dynamics, or equivalents is preferred.
• Understanding of CRM and enterprise application data structures is beneficial.
• Experience in data migration, integration, or system implementation projects adds value.
• Strong analytical skills and problem-solving aptitude.
• High attention to detail ensuring data accuracy.
• Capability to investigate complex data quality problems and implement corrective actions.
• Thorough knowledge of data governance principles and quality assurance controls.
• Skilled in documenting data definitions, business rules, workflows, and policies.
• Excellent communication and ability to manage stakeholder relationships.
• Collaborative mindset to work with IT, Finance, Operations, Procurement, Sales, and Supply Chain teams.
• Effective organizational and multitasking abilities to handle multiple data projects.
• Familiarity with data privacy, confidentiality, access controls, and information security standards.
• Experience with data-quality software, master data management tools, or governance platforms is a bonus.
• Proactive in detecting and preventing data quality issues.
• Relevant certifications in data management, governance, analytics, or related areas are beneficial.

Benefits and Opportunities

• Attractive salary package with comprehensive employee benefits.
• Opportunity to work on enterprise-level data and business systems.
• Exposure to master data management, data governance, analytics, and digital transformation projects.
• Professional growth in areas including data quality, governance, and business analytics.
• Hands-on experience with ERP, CRM, and other enterprise data platforms.
• Training and support for technical and professional certifications.
• Participation in data migration, system implementation, and business transformation initiatives.
• Collaborative environment with key departments such as IT, Finance, Operations, Procurement, Sales, and Business units.
• Recognition for efforts improving data quality, accuracy, and operational efficiencies.
• Career advancement paths toward senior roles such as Senior Master Data Specialist, Data Governance Analyst, Data Quality Manager, Data Management Manager, or Head of Data Management.