2027 Marketing Analytics Analyst Program

About the Role

The Rotational Analyst will actively engage 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.

Key Responsibilities

• 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

Requirements & Tech Stack

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; shortcuts
• Connect to databases
• Use functions such as classes, variables, lists, and classes
• Program files, modules, and libraries

Model Building & Maintenance

• Familiar with concepts and usage of Data Leakage, Training, Testing, and Validation Sets for model building
• Able to perform basic diagnostics testing
• Understanding of:
• Foundational statistical / measurement concepts, methods, and techniques
• Basic uses, scope, features, benefits, and risks of available modeling methods

Qualifications

• Must obtain a four-year degree or graduate-level degree by May 2027 in statistics, mathematics, economics, financial engineering, data sciences, business analytics, or other quantitative disciplines.

Expected Competencies

• Leadership: Works under general direction / supervision; may work independently, but often needs ongoing guidance and support
• Partnering / Influencing: Limited business partner interaction – work typically assigned by manager; Developing relationship-building ability and interpersonal skills; Engage and interact mostly with immediate team and peers; Developing influencing skills
• Business Acumen: Developing basic understanding of business partner strategy; Building financial acumen
• Critical Thinking / Problem Solving: Developing critical thinking skills; Can analyze simple issues with low complexity; Can give perspective to the team addressing basic business/analytical problems and challenges; Recognizes the need to escalate issues in a timely manner
• Communication: Basic writing skills; beginning to develop the ability to organize information in a clear, consistent format; Typically needs assistance with articulating a clear, well-thought-out message and formal delivery; Minimal skills in creating PowerPoint presentations; limited formal delivery

Program Start: July 12, 2027

Location: 4910 Tiedeman Road, Brooklyn Ohio

Salary: $65k

Sign-on Bonus: $5,000.00

KeyBank’s Internship and Analyst positions are not eligible for employment visa sponsorship (e.g., H-1B visa).