Hybrid Data Operations & Analytics Co-op (NJ)

Johnson & Johnson Innovative Medicine; New Jersey; Hybride; USD 32 000 - 72 000; Plein temps

Résumé du poste

Johnson & Johnson is seeking a Data Operations and Analytics Co-op in Somerset, NJ (hybrid). You will support the CS/CO team by collecting, validating, and analyzing data, and by developing dashboards with Tableau, Power BI, and Excel to drive supply chain improvements.

Ideal candidates are pursuing a degree in data science or a related field with strong analytical and communication skills, willing to learn new systems, and eager to contribute to digital transformation initiatives.

Qualifications

• Pursuing a degree in data analytics, engineering, or related field.
• Strong analytical and problem-solving skills.
• Proficient in MS Excel.
• Familiarity with data visualization tools (Power BI, Excel).
• Good communication and teamwork.

Responsabilités

• Assist in data collection, validation, and management across CS/CO.
• Develop dashboards and reports using Tableau, Power BI, and Excel.
• Curate data infrastructure to support daily operations.
• Support U.S. order management data insights.
• Analyze data to identify trends and process improvements.
• Collaborate on ad hoc analytics requests.
• Document workflows and maintain data integrity.
• Participate in team meetings and digital transformation initiatives.

Connaissances

Data analysis

Digital tools

Supply chain ops

Analytical thinking

Excel

Power BI

Communication

Teamwork

Learning agility

Formation

Pursuing degree in data analytics or related field

Outils

Power BI

Excel

SQL

Python

ERP SAP

Description du poste

Johnson & Johnson is seeking a Data Operations and Analytics Co-op in Somerset, NJ (hybrid). You will support the CS/CO team by collecting, validating, and analyzing data, and by developing dashboards with Tableau, Power BI, and Excel to drive supply chain improvements.

Ideal candidates are pursuing a degree in data science or a related field with strong analytical and communication skills, willing to learn new systems, and eager to contribute to digital transformation initiatives.