2026 Marketing Analytics Analyst Program Cleveland

About the Role

Key Responsibilities

• Support the formulation of hypotheses, translation of data, design and measurement of experiments, and generation of insights to inform business decisions using various data mining techniques.
• Perform basic diagnostic analyses on data to answer questions such as 'Why did it happen?' and 'What action can I take?'.
• Handle data or analytics requests in a timely and effective manner as assigned by the manager.
• Create reports and ad hoc analyses by pulling data and developing basic visualizations and PowerPoint presentations.
• Identify trends and outliers by inspecting data and building visualizations.
• Execute basic diagnostics testing, such as performance testing and assumption verification, under supervision.
• Find patterns or anomalies in data and support the production of insights into relevant business questions.

Requirements

• Must obtain a four-year degree or graduate level degree by May 2026 in a quantitative discipline such as statistics, mathematics, economics, financial engineering, data sciences, or business analytics.
• Understanding of data wrangling, descriptive statistics, and exploration of big data.
• Proficiency with Microsoft Office Suite, especially Excel, and familiarity with Python, SAS, or SQL for data analysis and database connection.
• Knowledge of model building concepts, including data leakage, training/testing/validation sets, and basic diagnostics testing.
• Basic statistical and measurement concepts, methods, and techniques.
• Developing skills in business partnering, influencing, and financial/business acumen.
• Basic communication skills, including writing and creating PowerPoint presentations.

Nice to Have

• Experience with data mining techniques and analytical programming languages.
• Familiarity with advanced modeling methods and their scope, features, benefits, and risks.
• Ability to analyze simple issues with low complexity and provide perspectives on basic business and analytical problems.

Qualifications

• A four-year degree or graduate degree in a quantitative field by May 2026.

Benefits & Perks

• Opportunities for professional development and mentorship.
• Networking events with analysts and executive leadership.
• Training to support transition from college to full-time employment.