Master Data Analyst

Job Overview

• Establish and maintain data quality metrics and KPIs, regularly monitoring and reporting on data quality issues, trends, and improvements.
• Collaborate with stakeholders, including supply chain planners, IT teams, and business leaders, to identify master data requirements and define data governance policies and procedures.
• Lead the identification, collection, and validation of master data from various sources, ensuring data accuracy and integrity throughout the data lifecycle.
• Define and implement data cleansing, enrichment, and standardization processes to improve data quality and usability.
• Drive the adoption and utilization of master data management tools and systems, providing guidance and support to users, and ensuring data integrity and consistency across platforms.
• Collaborate with IT teams to design, implement, and enhance master data management systems and infrastructure, aligning with business requirements and best practices.
• Provide guidance and training to supply chain planning teams on master data management processes, standards, and tools, promoting data governance awareness and adherence.
• Stay updated on industry trends, best practices, and emerging technologies related to master data management, and proactively identify opportunities for improvement and innovation.
• Lead data-related projects and initiatives, coordinating cross-functional teams, managing timelines and deliverables, and ensuring successful project execution.

What your background should look like:

• Bachelor's degree in Supply Chain Management, Business Administration, Information Systems, or a related field. A Master's degree is preferred
• Proven experience of 5+ years in master data management, data governance, or a related field, preferably in a supply chain planning environment.
• Strong knowledge of supply chain planning processes, including demand planning, inventory management, and production planning.
• Proficiency in utilizing master data management tools and systems (e.g., SAP MDG, Informatica MDM, etc.).
• Solid understanding of data governance principles, data quality management, and data lifecycle management.
• Experience with data analysis and reporting, using tools such as Excel, Tableau, or Power BI.
• Excellent analytical and problem-solving skills, with a keen attention to detail. Need to be detail-oriented and able to communicate with cross-functional teams.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• Demonstrated leadership abilities, with a track record of successfully leading and executing data-related projects.
• Ability to work in a fast-paced and dynamic environment, managing multiple priorities and deadlines effectively.
• Able and willing to work necessary hours to meet all project deadlines, travel when necessary.
• Able to modify working hours to accommodate global time zones. 
• Develop mutually beneficial, respectful, and effective relationships with peers to ensure seamless coordination between departments, maximize synergy, and maintain a shared vision, strategy, and focus.

Competencies