Enterprise Analytics Intern - Summer 2027

United States·Cincinnatientry

OtherEnterprise

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Quick Summary

Overview

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group.

Technical Tools

OtherEnterprise

What We Offer

~1 min read

The Business Data & Analytics (BDA) division is a shared service organization within our organization that brings together Enterprise Analytics, Enterprise Data Management, Enterprise Telematics, Predictive Analytics, and Business Transformation teams to drive data-informed decision making across the business. The division partners with business and technology stakeholders to transform data into actionable insights, improve data quality and governance, and advance analytics capabilities throughout the organization.

We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.

Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.

The Enterprise Analytics Intern will support the development and delivery of reporting, dashboards, and data-driven insights that help business leaders make informed decisions. This role provides hands-on experience working with enterprise data, analytics tools, and cross-functional teams to transform data into meaningful business recommendations. The intern will gain exposure to reporting, customer analytics, predictive modeling, and enterprise data management while building foundational technical and business skills in a collaborative environment.

Great American’s culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on‑site four days a week, with the flexibility to work one day remotely. Core in‑office days are Tuesday–Thursday, with the fourth day determined by business needs.

Responsibilities

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→Support the Enterprise Analytics team in developing, delivering analytics solutions, including reporting, dashboards, measurement strategies, and digital analytics initiatives.
→Help test and validate reporting solutions to ensure accuracy, consistency, and production readiness
→Collaborate with analytics, technology, and business partners to understand data requirements and translate them into analytic solutions
→Document processes and procedures necessary to support our products
→Apply best practices related to data quality, documentation, and analytics standards
→Build foundational business and data domain knowledge across enterprise functions
→Independently complete assigned tasks while receiving guidance and mentorship from the analytics team
→Perform other duties as assigned in support of enterprise analytics initiatives
→Support digital and behavioral analytics initiatives in defining business objectives and measurement approaches

Requirements

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Field of Study: Data Analytics, Business Analytics, Data Science, Finance, Information Systems, Computer Science, Statistics, or a related discipline
Available to work full time during Summer 2027, beginning May 18th

Nice to Have

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Exposure to data visualization or reporting tools (e.g., Tableau, Power BI, or similar)
Basic understanding of data analysis concepts and metrics
Experience working with structured data sets or databases
Introductory SQL or querying experience
Familiarity with gathering requirements and collaborating with technical and business stakeholders
Demonstrated skills in problem solving, attention to detail, accuracy, and time management
Strong communication skills and an interest in enterprise-level analytics and decision support

Business Data and Analytics