2027 Summer Intern: Marketing - Digital Analytics

About the role

The Hubbell Internship Program is a 10 to 12-week program providing students the opportunity to gain corporate experience, learn about all aspects of our business, and prepare students with the kind of experience needed to have a rewarding career at Hubbell. This intern will focus on optimizing the post-launch digital experience by analyzing website search behavior, customer discovery patterns, content performance, and AI search readiness. Responsibilities include identifying improvement opportunities, developing reporting dashboards, recommending content enhancements, and establishing a framework for continuous website optimization.

Responsibilities

• Apply skills and knowledge learned in the classroom to on-the-job experiences
• Work on comprehensive, value-added projects
• Work in teams and with colleagues in a professional environment
• Develop technical skills specific to your major
• Provide opportunities for professional development by building relationships and learning about other parts of the business
• Provide a presentation to the local management team at the end of the program
• Gain knowledge of the industry as it pertains to the Hubbell business location
• Gain experience in planning and organizational skills
• Work on challenging robust projects that will provide practical experience
• Assist with process improvement
• Manage multiple projects with overlapping tasks and work independently with minimal supervision
• Provide support and assistance to co-workers as appropriate

Requirements

• Full-time enrollment in an accredited college or university throughout the internship program period (May–August 2027), pursuing a Bachelor’s or Master’s degree related to the internship
• Minimum 3.0 GPA

Qualifications

• Experience with Microsoft Office products preferred
• Familiarity with digital marketing, website analytics, SEO, content strategy, or data visualization tools preferred
• Interest in the intersection of marketing, analytics, technology, and artificial intelligence
• Ability to communicate findings clearly and translate data into business recommendations
• Self-motivated, curious, and eager to learn in a collaborative, fast-paced environment

Pay

Intern compensation is determined based on academic standing and expected graduation date. Hourly rates for this position range from $22.50 to $29.00 per hour.