Data Analyst

Job Description:

Position Summary:
We are seeking detail-oriented and reliable individuals to support data entry activities for our Cell & Gene Therapy make-to-order manufacturing operations. In this role, you will be responsible for entering manufacturing-related data into SAP ECC and SAP S/4HANA systems to ensure accurate production tracking and process documentation. This is a critical role that supports the timely and compliant delivery of highly specialized therapies.

Key Responsibilities:

• Accurately input manufacturing data into SAP ECC and S/4HANA systems in support of production operations for Cell & Gene Therapy products.

• Ensure data integrity and consistency in all entries related to manufacturing processes, inventory movement, and production records.

• Follow standard operating procedures (SOPs) and Good Manufacturing Practices (GMP) when handling data entry and documentation tasks.

• Collaborate with manufacturing, quality assurance, and supply chain teams to gather and verify necessary data for system entry.

• Identify and escalate any discrepancies or system issues to ensure timely resolution.

• Maintain accurate logs of completed tasks and follow shift schedules as assigned.

• Participate in shift-based work, including evening hours and weekends, particularly during peak periods such as August 2025 (note: shift requirements may vary throughout the project timeline).

• Work will be conducted fully on-site at the Morris Plains, NJ facility.

Requirements:

• High school diploma or equivalent required; associate’s or bachelor’s degree in a relevant field (e.g., life sciences, business, or IT) is a plus.

• Previous experience working with SAP (ECC and/or S/4HANA) is preferred but not mandatory; training may be provided for the right candidate.

• Familiarity with or experience in the life sciences, pharmaceutical, or biotechnology industry is advantageous, especially in a GMP-regulated environment.

• Proficiency with Microsoft Excel is strongly preferred, particularly in handling large data sets, using formulas, and performing data validation.

• Strong attention to detail and accuracy in data entry tasks.

• Ability to work effectively both independently and as part of a cross-functional team.

• Flexibility to work varying shifts, including evenings and weekends, as required by the project schedule.

• Strong organizational skills, time management, and the ability to follow structured processes.