Brand Protection Analitycs Co-Op

Johnson & Johnson • Raritan, NJ

7d • Onsite

About The Position

The Global Brand Protection Organization at Johnson & Johnson is seeking a Brand Protection Analytics Co-Op to join its Illicit Trade Analytics (ITA) team during the Fall 2026 Semester, based out of the Raritan, NJ office. The Co-op term is from July to December, 2026. This role will focus on developing and delivering insights to protect patients from illicit trade, including counterfeiting and product tampering. The Brand Protection Analytics Co-Op will collaborate closely with data engineers, visualization experts, and data scientists to analyze risks and threats, utilizing machine learning and AI techniques. The position involves creating analytics-based reports and presentations to effectively communicate data-driven stories. Role will span across the Global Brand Protection Data & Analytics and Product Protection Laboratory teams.

Requirements

• Completion of Undergraduate Freshman year at an accredited University is required.
• Currently pursuing a bachelor’s and master's degree in Data Science, Economics, Statistics, Computer Science, Business Analytics or a related technical field.
• Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework.
• Proficiency in Microsoft PowerPoint, Excel, and Access.
• Strong quantitative skills and attention to detail.
• Ability to analyze and manipulate data effectively.
• Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future.
• Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.

Nice To Haves

• Knowledge of open-source programming languages such as R and Python.
• Experience with database management tools.

Responsibilities

• Develop and deliver impactful data-driven insights to protect patients from illicit trade.
• Collaborate with data engineers, data visualization developers, and data scientists.
• Support AI tool development by collecting and preparing training data, documenting functional and data requirements, and executing user acceptance testing (UAT).
• Analyze and assess risks and threats from counterfeiting, diversion, and tampering.
• Apply signal-detection methods, machine learning, and AI to identify illicit trade signals.
• Develop analytics-based reports and presentations using PowerBI.
• Support the Product Protection Forensics Laboratory by analyzing counterfeit and diverted samples using forensic analysis methods.
• Record sample and test data in the Laboratory Information Management System (LIMS).
• Support communications and training on product protection security features, including creating presentations and training materials.
• Support with ad-hoc projects as needed.

Benefits

• Company sponsored employee medical benefits in accordance with the terms of the plan.
• 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.
• Eligible to participate in the Company’s consolidated retirement plan (pension).

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed