Data Entry Operator III

• Enter and verify large volumes of batch record data with high accuracy and consistency.
• Manage and track workload to ensure all required process data is located, collected, and entered.
• Use existing tools and develop simple tracking methods to manage daily data entry tasks.
• Provide timely and accurate data entry to support daily process monitoring and related activities.
• Handle special requests for data collection, completion, and verification.
• Ensure all data entry procedures and guidelines are current and followed.
• Maintain 100% accuracy and "right first time standards for all data entered.

Process & Analytics Understanding (5%):

• Develop a basic understanding of how data collection supports process monitoring and analytics.
• Learn key manufacturing process technologies, terminology, and analysis tools.
• Gain familiarity with Statistica Enterprise Architecture to support data collection system maintenance.

User Interaction & Support (5%):

• Interact routinely with data consumers to support efficient data usage.
• Help build user confidence in GDM by ensuring data accuracy and responsiveness.
• Observe how users interact with GDM and provide support based on their needs.
• Troubleshoot and resolve data entry related analytics issues.

Training & Compliance (10%):

• Follow all training, policy, and cGMP requirements for the facility.
• Maintain an up to date training profile by completing assigned training in systems such as ComplianceWire and SAP Learning Portal.
• Ensure continuous compliance with data integrity and documentation standards.
• Perform other duties as assigned by management.

Requirements:

• High School Diploma or equivalent (required).
• 0 3 years of experience in biotech, pharmaceutical, or related industries preferred.
• Exposure to data collection systems or manufacturing data environments is an advantage.
• Strong computer skills, including proficiency in Microsoft Office.
• Highly detail oriented, self motivated, and able to work independently.
• Strong commitment to accuracy, data integrity, and compliance.