Digital Quality Co-op: Data Analytics & AI (Spring 2027)

Johnson & Johnson Co.; Raritan (NJ); Hybrid; USD 32,000 - 72,000; Full time

Job summary

Johnson & Johnson is seeking Sophomores, Juniors, and rising Seniors for the Technology and Digital Quality Co‑op Program in Spring 2027. The hybrid schedule requires on‑site three days per week and two remote days, with mentorship from the manager as the start approaches.

The role offers hands‑on data analysis experiences across multiple T&DQ functions. You will gather, analyze, and interpret data to support decision making, build dashboards, and contribute to data‑driven strategies while

Qualifications

• Enrolled in an accredited college/university during the internship; undergrad sophomore or above; master’s degree timeline as specified.
• Permanent US work authorization (sponsorship not required now or in future).
• GPA 3.0 or higher across college coursework.

Responsibilities

• Analyze end‑to‑end business processes and translate needs into digital solutions.
• Collect, clean, and prepare datasets for analysis from databases, APIs, and spreadsheets.
• Perform statistical analysis and create visualizations to communicate findings to stakeholders.
• Develop automated data extraction/transformation and reporting workflows using Python, R, or SQL.
• Collaborate with QA‑Ops, finance, and operations to support data needs and actionable insights.

Skills

Data analysis

Data interpretation

Presentation

Education

Pursuing bachelor’s or master’s degree in science, engineering, data science, or related field

Tools

Python

R

SQL

Tableau

Power BI

Excel

AWS

Azure

Google Cloud

Power Platform

Job description

Johnson & Johnson is seeking Sophomores, Juniors, and rising Seniors for the Technology and Digital Quality Co‑op Program in Spring 2027. The hybrid schedule requires on‑site three days per week and two remote days, with mentorship from the manager as the start approaches.

The role offers hands‑on data analysis experiences across multiple T&DQ functions. You will gather, analyze, and interpret data to support decision making, build dashboards, and contribute to data‑driven strategies while