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The Master Data Analyst at Amgen will support the accuracy and consistency of master data (Material, Production, Quality, Customer, Transportation and/or Plant) across the organization. This role will manage data validation, cleansing, and enrichment while collaborating with teams to resolve issues and ensure data integrity. The analyst will support key performance monitoring, data governance, and compliance efforts, as well as assist in data migration and integration projects. Candidates should have experience in enterprise applications like SAP or Oracle, familiarity with data governance frameworks and compliance standards, and strong analytical skills.
Job Responsibility
Perform data operations tasks, mainly maintenance, and validation, to ensure the accuracy and integrity of master data
Follow Principles of Handling and Access to Restricted Data for Clinical master data
Initiation and maintenance of the study integrity document (SID) for Clinical master data
Support process optimization initiatives to improve data management workflows and enhance efficiency
Conduct data analysis to identify trends, discrepancies, and opportunities for improvement
Provide training and support to partners, customers, and end-users on master data processes, tools, and best practices
Maintain data quality reports to monitor performance metrics and ensure data compliance
Collaborate cross-functionally with business, IT, and operations teams to resolve data-related issues and ensure alignment with organizational goals
Requirements
Bachelor’s degree in a STEM discipline and 5 years of experience in SAP ECC, clinical master data management, data governance, or data operations, preferably in the healthcare or biotech supply chains
Experience in SAP/Oracle, Microsoft Office (Excel, PowerPoint), and other data management tools (e.g., Informatica, Oracle MDM)
Strong ability to analyze large datasets and deliver actionable insights
Skilled at identifying root causes of data issues and implementing effective solutions
High accuracy and attention to detail, with a strong focus on data quality
Excellent written and verbal communication skills, with the ability to present findings to both technical and non-technical stakeholders