Data & Analytics Internship — Summer 2027 (Grow & Impact)

Huntington National Bank; Detroit (MI); Hybrid; USD 28,000 - 34,000; Full time

Job summary

Huntington National Bank offers internships across business segments, providing hands-on experience aligned to students' studies. Interns gain exposure to key functions across the organization and participate in structured development opportunities with senior leadership.

Data internships involve projects across segments, applying data science and analysis skills, including data scrubbing, visualization, and communicating insights to stakeholders.

Qualifications

• High School graduate.
• Enrolled in an Undergraduate or Graduate program.
• Demonstrated teamwork and leadership through extracurricular activities and/or work experience.
• Exceptional communication, interpersonal, and relationship building skills.
• Ability to work independently or as part of a team.
• Proficiency in Microsoft Office applications.

Responsibilities

• Experience in day-to-day responsibilities related to their assigned team.
• Exposure to broader business functions.
• A structured schedule of professional development sessions.
• Opportunities to engage with members of the Executive Leadership Team.
• Discussions with senior leaders regarding career paths and Huntington’s business areas.
• A team project focused on applying Huntington’s innovation framework to a business‑relevant problem.
• Participation in volunteer activities and internal events aligned with Huntington’s culture.

Skills

Teamwork

Communication

Independent work

Education

High school diploma

Undergraduate/Graduate enrollment

Tools

SQL

Tableau

Python

Power BI

JavaScript

R

Job description

Huntington National Bank offers internships across business segments, providing hands-on experience aligned to students' studies. Interns gain exposure to key functions across the organization and participate in structured development opportunities with senior leadership.

Data internships involve projects across segments, applying data science and analysis skills, including data scrubbing, visualization, and communicating insights to stakeholders.