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Marketing Analytics Analyst Program - Cleveland

Job in Brooklyn, Cuyahoga County, Ohio, USA
Listing for: KeyBank
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 58500 - 71500 USD Yearly USD 58500.00 71500.00 YEAR
Job Description & How to Apply Below
Position: 2026 Marketing Analytics Analyst Program - Cleveland

Location

4910 Tiedeman Road, Brooklyn Ohio

Program Start

July 13, 2026

What does our Enterprise Analyst Program offer?

Key Bank's Enterprise Analyst Program is a multi-week training program. For those still in college, the program facilitates the transition from college to a full-time career  program provides opportunities to learn about Key's business and strategic pillars, learn about Key's industry-leading employee benefits, engage in exciting networking events with Analysts across various teams, hear from members of the Executive Leadership Team, and receive relevant training ahead of starting in a full-time role.

At the conclusion of the multi-week training program, Analysts will enter their Line of Business and begin working with their respective teams within a rotational program within a specific segment or full-time role. Continued development beyond the program is provided through mentorship opportunities with teammates across various levels of the organization that will provide an environment for shared learning and advice, encourage professional development, and assist in the development of career aspirations and goals.

About

the Job

The Rotational Analyst will be actively engaging with the Enterprise Marketing Analytics team, gaining hands‑on experience by working on various projects across diverse marketing channels. This rotation aims to provide a comprehensive understanding of the different facets of marketing analytics, allowing the analyst to develop a well‑rounded skill set and valuable insights from each channel.

Under direct supervision, the rotational analyst is primarily responsible for supporting the formulation of hypotheses, translation of data, design/measurement of experiments and generation of insights to inform business decisions by using various data mining techniques. The rotational analyst uses data to perform basic diagnostic analyses and assists the team's diagnostic projects to provide answers to questions such as "Why did it happen?"

and "What action can I take?". Through the use of reporting and execution of ad hoc requests by pulling data and creating basic analysis and the inspection and control of testing procedures, the rotational Analytics Associate identifies trends and outliers. Success criteria include: timely and effective handling of data or analytics requests assigned by manager; providing input into basic business or analytical challenges faced by the team;

building functional knowledge in analytical programming languages, data literacy, developing communication skills, business acumen, and critical thinking; and establishing relationships with peers and broader team.

Essential Job Functions
  • Conduct data query and analysis on large data sets with manager and team support
  • Identify common data errors and their impact
  • Provide reoccurring reporting and ad hoc requests
  • Employ basic best practices for evaluating large data
  • Answer key business questions through exploration and discovery
  • Create simple analysis to support the production of insights into relevant business questions under general direction / supervision
  • Find patterns or anomalies by building out visualizations and PowerPoint presentations
  • Execute basic diagnostics testing under supervision (e.g. performance testing, assumption verification and impacts of limitations)
  • Tests, under supervision, suitability / sufficiency for approach (e.g. representativeness)
  • Provide input with addressing basic business/analytical problems and challenges
Required Qualifications
  • Must obtain a four‑year degree or graduate level degree by May 2026 in statistics, mathematics, economics, financial engineering, data sciences, business analytics or other quantitative disciplines.
Data Literacy
  • Understanding of:
    • Data wrangling including information documentation and importing data from different formats
    • Descriptive statistics, random variables, common distributions, outliers
  • Ability to consume, query, explore, and evaluate big data; can leverage this skill to inform business questions
Technology & Techniques
  • Advanced Microsoft Office Suite
    • Navigation, shortcuts, use and share spreadsheet documents
  • Python//SAS/SQL
    • Perform IDE walk-through;…
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