2027 Summer Marketing Analytics Internship - Cleveland

KeyBank•Brooklyn, OH

1d•Hybrid

About The Position

Key’s Enterprise Internship is a 10.5-week program that provides meaningful work, feedback and coaching, engaging events, and opportunities to learn about a full-time career at Key. Interns work on line-of-business-specific projects that support Key’s business and strategic pillars. The program also includes networking with teammates across the organization, Learning Labs featuring internal and external speakers, and an assigned mentor. The Marketing Analytics Intern conducts data queries and analyses, supports recurring reporting and ad hoc requests, and explores business questions to develop insights. The role involves identifying data errors, creating visualizations and presentations, performing basic diagnostics, and contributing to analytical problem-solving under supervision. The internship runs from May 26, 2027, through August 6, 2027, at 4910 Tiedeman Road, Brooklyn, Ohio. The position pays $25 per hour and includes a $2,000 summer internship sign-on bonus. Key prioritizes in-office presence while offering flexible options when work can be performed effectively in a mobile environment.

Requirements

Have completed at least two years of a four-year undergraduate degree program, with anticipated graduation in or before May 2028.
Coursework in statistics, mathematics, economics, financial engineering, data sciences, business analytics, or another quantitative discipline.
Minimum undergraduate GPA of 3.0.
Demonstrated leadership and teamwork through past work experience and/or extracurricular activities.
Solid analytical, problem-solving, communication, and presentation skills.
Proficiency in Excel and PowerPoint.
Must not require employment visa sponsorship to work in KeyBank’s internship and analyst positions.

Responsibilities

Conduct data queries and analyze large data sets with manager and team support.
Identify common data errors and assess their impact.
Provide recurring reporting and respond to ad hoc requests.
Use basic best practices for evaluating large data sets.
Answer business questions through exploration and discovery.
Create simple analyses to support insights into relevant business questions under general direction and supervision.
Find patterns or anomalies by creating visualizations and PowerPoint presentations.
Execute basic diagnostic testing under supervision, such as performance testing and verification of assumptions and limitations.
Test the suitability and sufficiency of an analytical approach under supervision, including representativeness.
Provide input on basic business and analytical problems and challenges.