Great American Insurance Group

Great American Insurance Group

Associate Data Reporting Analyst/Data Reporting Analyst

Cincinnati, OH (USA) · Part-time

Sponsorship not specifiedDetected 27 days ago
SQLData AnalysisData EngineeringData VisualizationExcelCommunicationProperty & Casualty

About the role

  • Great American Insurance Group's member companies are subsidiaries of American Financial Group.
  • We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed.
  • With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.

Requirements

  • Developing proficiency in analyzing data sets and identify patterns, trends, and insights.
  • General knowledge of data extraction, transformation, and loading (ETL) processes.
  • Strong communication skills with the ability to explain data insights to non-technical stakeholders.
  • Performs work under close supervision.
  • Develops and maintains knowledge of data sources content and structure to assess the quality of data.
  • Develops understanding of industry products/coverages and applies that knowledge to support business activity.

Skills

  • Foundational analytical skills and attention to detail.

Compensation

  • Your recruiter will provide details about benefits and specific compensation ranges during the hiring process.

Benefits

  • 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.
  • Your recruiter will provide details about benefits and specific compensation ranges during the hiring process.

This listing is sourced directly from Great American Insurance Group's careers page and normalized into a canonical job model.