MDM (Master Data Management) Business Analyst

Key Responsibilities

• Gather, document, and validate business requirements related to master data domains (Customer, Vendor, Product, etc.)
  • Analyze business processes that create, update, and consume master data across systems (ERP, CRM, BI)
  • Map current-state vs. future-state data flows and identify gaps, inefficiencies, and risks
  • Translate business requirements into functional specifications for MDM solutions
• Support definition and enforcement of data governance policies, standards, and business rules
• Collaborate with business data owners and data stewards to establish data ownership and accountability
• Define and monitor data quality rules, KPIs, and exception handling processes
• Aid in initiatives such as deduplication, golden record management, and data standardization
• Work with cross-functional teams (Finance, Sales, Operations, IT) to align on master data requirements
• Facilitate workshops and working sessions to define data standards and business rules
• Act as liaison between business users and technical teams (MDM platform, integration, BI)
• Support implementation and enhancement of MDM tools (e.g., workflows, approvals, data models)
• Participate in system integration discussions involving MDM and downstream systems (ERP, CRM, DW)
• Absorb and assist in testing (UAT), validation, and deployment of MDM-related changes
• Document MDM processes, workflows, and data lifecycle
• Develop reports and dashboards to monitor data quality and MDM adoption
• Identify opportunities to expand MDM capabilities to new data domains
• Drive continuous improvement initiatives to enhance data accuracy, consistency, and usability

What We Are Looking For

• Bachelor's degree in business, Information System, Data Analytics, or related field
• 8+ years of experience as a Business Analyst, preferably in data, analytic, or MDM initiatives
• Strong understanding of Master Data Management concepts, including Data Governance, Data Stewardship, Golden Record Management, and Data Quality Frameworks
• Experience with MD Platforms (e.g., Profisee or similar) and integration tools
• Knowledge of data modeling, SQL, and data integration concepts
• Familiarity with tools like PowerBI or other reporting platforms
• Understanding of workflows, approvals, and data lifecycle processes
• Azure Data Factory, Data Lake Storage, Databricks, and Logic Apps preferred
• Microsoft Fabric (Lakehouse, Data Pipelines, Warehouse, and Semantic Models) preferred
• Strong analytical, problem-solving, and troubleshooting skills with the ability to navigate complex enterprise data landscapes
• Self-driven professional with excellent communication skills and ability to collaborate across technical and business teams
• Comfortable working in high-priority, time-sensitive environments with on-call support responsibilities
• Up to 25% travel based on project requirements