2027 Marketing Analytics Analyst Program - Cleveland, OH

KeyBank•Brooklyn, OH

2d•Hybrid

About The Position

KeyBank’s Enterprise Analyst Program is a multi-week training program intended to help college students transition to a full-time career at Key. Analysts learn about Key’s business and strategic pillars, employee benefits, and receive relevant training. The program includes networking with Analysts across teams and sessions with members of the Executive Leadership Team. After the program, Analysts enter their Line of Business and begin working with their teams in a rotational program within a specific segment or in a full-time role. Continued development includes mentorship with colleagues at various levels to encourage shared learning, professional development, and progress toward career aspirations and goals. The Rotational Analyst works with the Enterprise Marketing Analytics team and gains hands-on experience through projects across diverse marketing channels. The rotation is designed to build an understanding of marketing analytics and develop a broad skill set and insights across channels. Under direct supervision, the analyst supports hypothesis formulation, data translation, experiment design and measurement, and insight generation to inform business decisions using data-mining techniques. The role performs basic diagnostic analyses, supports diagnostic projects, creates reporting and basic analyses for ad hoc requests, and inspects and controls testing procedures to identify trends and outliers. Success involves handling assigned data and analytics requests in a timely and effective manner, contributing to basic business and analytical challenges, building analytical programming and data-literacy skills, developing communication, business-acumen, and critical-thinking skills, and establishing relationships with peers and the broader team. The position is based at 4910 Tiedeman Road, Brooklyn, Ohio. Key prioritizes in-office presence while providing flexible options when roles can be performed effectively in a mobile environment. The position starts July 12, 2027. The role offers a salary of $65,000 and a $5,000 sign-on bonus. Internship and Analyst positions are not eligible for employment visa sponsorship, including H-1B sponsorship.

Requirements

Obtain a four-year degree or graduate-level degree by May 2027 in statistics, mathematics, economics, financial engineering, data sciences, business analytics, or another quantitative discipline.
Data literacy, including data wrangling, documenting information, and importing data from different formats.
Understanding of descriptive statistics, random variables, common distributions, and outliers.
Ability to consume, query, explore, and evaluate big data to inform business questions.
Advanced proficiency with the Microsoft Office Suite, including navigating, using shortcuts, and using and sharing spreadsheet documents.
Python, SAS, or SQL skills, including IDE navigation, connecting to databases, using functions such as classes, variables, and lists, and working with program files, modules, and libraries.
Familiarity with data leakage and training, testing, and validation sets for model building.
Ability to perform basic diagnostic testing.
Understanding of foundational statistical and measurement concepts, methods, and techniques.
Understanding of the basic uses, scope, features, benefits, and risks of available modeling methods.
Developing critical-thinking, communication, interpersonal, business-acumen, and relationship-building skills; able to recognize when to escalate issues.
Must not require employment visa sponsorship to maintain employment eligibility.

Responsibilities

Conduct data queries and analysis on large data sets with manager and team support.
Identify common data errors and assess their impact.
Provide recurring reporting and fulfill ad hoc requests.
Use basic best practices for evaluating large data sets.
Explore data to answer key business questions.
Create simple analyses to support insights into relevant business questions under general direction or supervision.
Find patterns or anomalies by creating visualizations and PowerPoint presentations.
Execute basic diagnostic testing under supervision, including performance testing, assumption verification, and assessment of limitations.
Test, under supervision, the suitability and sufficiency of approaches, including representativeness.
Contribute to addressing basic business and analytical problems and challenges.
Support hypothesis formulation, data translation, experiment design and measurement, and insight generation for business decisions.
Inspect and control testing procedures and identify trends and outliers.