Johnson & Johnson is hiring a Technology and Digital Quality Intern to analyze business processes and data, support decision-making, and contribute to data-driven strategies across T&DQ functions. The intern will help develop digital solutions, prepare and analyze data, create reports and automated workflows, and collaborate with teams on recommendations and process improvement.
Digital Product Analysis: Understand and analyze end-to-end business processes and translate needs into digital solutions by building product backlogs in the form of user stories
Data Ingestion and Engineering: Assist in collecting, cleaning, and preparing datasets for analysis from various sources such as databases, APIs, and spreadsheets
Data Analysis and Reporting: Perform statistical analysis and data mining to identify patterns, correlations, and insights into business data. Develop visualizations and dashboards using tools such as Tableau, Power BI, or Excel to communicate data findings to key stakeholders
AI and Automation: Create automated workflows for data extraction, transformation, and reporting using Python, R, or SQL. Contribute to the adoption of AI and digital technologies by supporting validation activities that enable innovative solutions while maintaining regulatory and compliance standards
Support Decision-Making: Assist in analyzing data to support business decisions and pivotal initiatives and partnering to put together recommendations for leadership
Collaboration: Work closely with various departments, including QA-Ops, JJRC, finance and operations to understand their data needs and provide actionable insights
Continuous Process Improvement: Document methodologies, processes, and results to ensure reproducibility and knowledge sharing within the team
Qualification
Required
Permanent US work authorization without the need for sponsorship now, or in the future (F1, H1B, CPT, OPT or STEM OPT require sponsorship in future)
Enrollment (not necessarily taking classes) in an accredited college/university during the Internship
By start date, student must be considered an undergraduate sophomore or above
Master's students must have earned undergraduate degree on or after June 2027
Have a cumulative GPA of 3.0 or higher, which is reflective of all college coursework
Pursuing a bachelor's or master's degree in science, communications, regulatory compliance, quality, finance, data science, computer science, mathematics, statistics, economics, engineering, supply chain, or technology related field
Ability to clearly present data findings and interpretations to both technical and non-technical partners
Ability to break down challenging problems into manageable components and derive actionable insights
Understanding statistical concepts such as regression analysis, hypothesis testing, and data distribution
Ability to work through challenges logically and deliver solutions efficiently
Preferred
Proven leadership and/or participation in campus/community service activities
Previous internship, Co-Op, or academic experience in a related field
Basic proficiency in data analysis tools Python, R, or SQL, and visualization tools Tableau, Power BI, or Excel
Familiarity with Cloud data platforms such as AWS, Azure, or Google Cloud
Basic proficiency in IA tools, such as Power Platform
Familiarity with machine learning algorithms and AI platforms/LLMs and tools
Exposure to Agile, Scrum, or other project delivery methodologies
Six Sigma Green Belt certification
Benefits
Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan.
Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year.
Co-Ops and Interns are eligible to participate in the Company’s consolidated retirement plan (pension).
Hybrid work: report on site three times a week and work remotely two times a week.
Johnson & Johnson develops medical devices, pharmaceuticals, and consumer packaged goods.