Master Data Analyst - Material & Production

• 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.

Basic Qualifications and Experience:

• Bachelor's degree in a STEM discipline and 2-3 years of experience in SAP ECC, master data management, data governance, or data operations, preferably in the healthcare or biotech supply chains

• Technical Proficiency: Experience in SAP/Oracle, Microsoft Office (Excel, PowerPoint), and other data management tools (e.g., Informatica, Oracle MDM).

• Analytical Skills: Strong ability to analyze large datasets and deliver actionable insights.

• Problem Solving: Skilled at identifying root causes of data issues and implementing effective solutions.

• Attention to Detail: High accuracy and attention to detail, with a strong focus on data quality.

• Communication: Excellent written and verbal communication skills, with the ability to present findings to both technical and non-technical stakeholders.

Functional Skills:

Must-Have Skills:

• Working knowledge of SAP/Oracle

• Understanding of master data management processes, frameworks, and governance.

• Proficiency in Excel and MS Office Suite, with experience in data analysis

• Basic understanding of data governance frameworks and ensuring data accuracy and quality.

• Strong communication skills for presenting data insights to both technical and non-technical audiences.

Good-to-Have Skills:

• SAP S/4, SAP MDG, SAP TM

Professional Certifications (please mention if the certification is preferred or mandatory for the role):

Soft Skills:

• Good analytical and troubleshooting skills.

• Strong verbal and written communication skills.

• Ability to work effectively with global, virtual teams.

• High degree of initiative and self-motivation, centered around data perfection

• Team-oriented, with a focus on achieving team goals.

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