Data Operations & Analytics Spring Co-op

Johnson & Johnson Innovative Medicine • Somerset, NJ

9d • $24 - $53 • Hybrid

About The Position

Johnson & Johnson Deliver, part of the company’s global Supply Chain organization, supports customer-facing operations and supply-chain enablers across the Johnson & Johnson Family of Companies. The Data Operations and Analytics Co-op supports the Customer Service and Channel Operations (CS/CO) organization by assisting with digital strategies, data and analytics projects, and operational tools and processes. The position is hybrid and based in Somerset, New Jersey and/or Titusville, New Jersey. It offers hands-on experience in data analysis, digital tools, and supply chain operations.

Requirements

• Strong interest in data analysis, digital tools, and supply-chain operations.
• Strong analytical, critical-thinking, and problem-solving skills.
• Proficiency in MS Excel.
• Knowledge of basic data-analysis or visualization tools, such as Power BI or Excel.
• Good communication skills and a team-oriented mindset.
• Willingness to learn new systems, data methodologies, and process-improvement techniques and adapt in a fast-paced environment.
• Permanent authorization to work in the U.S. without requiring employment-visa sponsorship now or in the future.

Nice To Haves

• Exposure to programming languages such as SQL or Python.
• Familiarity with ERP systems such as SAP or cloud platforms such as Azure, AWS, or Google Cloud.
• Previous coursework or projects related to data analytics or supply-chain management.

Responsibilities

• Support data collection, validation, and management across CS/CO functions, including order management and distribution.
• Assist in developing dashboards, reports, and visualizations using Tableau, Power BI, and Excel to communicate insights to stakeholders.
• Curate and maintain the data and analytics infrastructure supporting CS/CO daily operations and strategic decision-making.
• Support day-to-day U.S. order management operations through data insights and process support.
• Analyze data to identify trends, inefficiencies, and opportunities to improve supply-chain processes.
• Collaborate with team members on ad hoc analytics requests and deliver data accurately and on time.
• Document data workflows and maintain data-integrity standards.
• Participate in team meetings, continuous-improvement projects, and digital-transformation initiatives.

Benefits

• Company-sponsored employee medical benefits, subject to plan terms.
• Up to 40 hours of sick time per calendar year; up to 56 hours for employees residing in Washington State.
• Eligibility to participate in the company’s consolidated retirement plan (pension).

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed