Senior Business Intelligence Analyst

Great American Insurance Group•Cincinnati, OH

3d•Hybrid

About The Position

Great American Risk Solutions (GARS) is a growing wholesale excess & surplus (E&S) insurance business focused on complex and specialized commercial risks. As a dynamic and expanding business, GARS combines the entrepreneurial spirit of a growth-oriented organization with the stability and resources of Great American Insurance Group. The GARS Analytics Team develops reporting and analytics that enable better decision-making across a complex and evolving commercial portfolio. We are seeking a Senior Business Intelligence Analyst to serve as a technical leader and strategic partner driving analytics delivery, advancing our use of modern tools, and helping scale our capabilities as demand continues to grow. This role emphasizes advanced SQL-based analytics in Snowflake, ownership of core reporting domains, and thoughtful adoption of new tools and methodologies. The ideal candidate combines technical depth with strong business judgment and a continuous-learning mindset. 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. This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without the need for current or future sponsorship.

Requirements

Bachelor’s Degree required
Seven or more years of experience in analytics, reporting, business intelligence, or a related field.
Advanced proficiency in SQL and relational database concepts.
Strong experience developing business intelligence solutions using Tableau, Power BI, or comparable platforms; Tableau experience preferred.
Experience using Python or other scripting languages for analytics, automation, or data exploration.
Working knowledge of cloud based analytics platforms; Snowflake experience preferred.
Knowledge of data extraction, transformation, and loading (ETL) processes.
Advanced analytical and problem-solving skills with high attention to detail.
Performs work under limited supervision and relies on experience and judgment to plan and accomplish goals.
Excellent communication and presentation skills, with the ability to explain complex data insights to nontechnical stakeholders.
Proven ability to partner with business stakeholders to frame ambiguous problems, interpret data within business context, and influence decisions.
Demonstrated interest in learning new tools, techniques, and analytics best practices.

Nice To Haves

master’s degree or professional license/certification a plus.
Field of Study: Business Analytics, Finance, Accounting, Computer Science, or a related quantitative or technology discipline preferred.
Previous experience in insurance or financial services a plus.
Experience working in Agile/Scrum environments a plus

Responsibilities

Analyzes, evaluates, and interprets large volumes of complex data from diverse sources to drive strategic business initiatives
Ensures data integrity and accuracy through rigorous validation, reconciliation, and business-focused quality checks.
Partners with stakeholders across the business to frame complex questions, clarify reporting requirements, uncover insights, and deliver solutions that support data-driven action.
Presents findings and strategic recommendations to management and other business stakeholders in a clear, impactful manner.
Partners with IT Data Mart teams to align business logic, data definitions, and reporting usage with enterprise data models, standards, and production implementations.
Responsibly uses AI-assisted analytics and coding tools to improve delivery speed and quality while applying appropriate validation, governance, and professional judgment.
Designs and maintains semantic models, business logic, and metric definitions that enable trusted reporting, analytics, and emerging AI-assisted BI capabilities.
Identifies and implements process improvements that increase the efficiency and effectiveness of data collection, analysis, and reporting.
Maintains documentation for data processes, workflows, reporting standards, and definitions to support governance and reuse.
Provides technical guidance and supports peer development to analysts through design reviews, knowledge sharing, and problem solving.
Maintains knowledge of analytics best practices and emerging trends and applies relevant methods to the team’s work.
Performs other duties as assigned.