Senior Business Intelligence Analyst - Great American Risk Solutions

Great American Insurance Company•Cincinnati, OH

2d•Hybrid

About The Position

The Great American Risk Solutions (GARS) Analytics Team develops reporting and analytics that enable better decision making across a complex and evolving commercial insurance 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 proactive adoption of new tooling and methodologies. The ideal candidate brings strong technical depth, business curiosity, 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.

Requirements

Bachelor’s Degree; 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.
8 years of experience in analytics, reporting, or business intelligence roles.
Previous experience in insurance or financial services a plus.
Advanced proficiency in SQL and relational database concepts.
Strong experience with Business Intelligence tools (Tableau preferred, Power BI).
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.
Experience working in Agile/Scrum environments a plus.

Nice To Haves

Master’s degree or professional license/certification
Previous experience in insurance or financial services
Snowflake experience
Experience working in Agile/Scrum environments

Responsibilities

Analyzes, evaluates, and interprets large volumes of complex data from diverse sources to drive strategic business initiatives.
Ensures data integrity and accuracy through comprehensive data audits and advanced validation techniques.
Conducts in-depth analysis of data trends and patterns to identify opportunities for optimization and inform strategic decisions.
Collaborates cross-functionally with various departments to understand and address their complex data reporting requirements, delivering customized solutions.
Presents findings and strategic recommendations to management and other business stakeholders in a clear, impactful manner.
Identifies, recommends, and implements advanced process improvements to enhance data collection, analysis, and reporting efficiency and effectiveness.
Maintains advanced, updated knowledge of industry best practices and emerging trends in data analytics and reporting, integrating new methodologies as appropriate.
Develops and maintains clear documentation for data processes, workflows, reporting standards, and data definitions to support governance and reuse.
Owns delivery of complex analytics, reports, and dashboards, developing analytics logic and metrics in Snowflake to support exploration, prototyping, and business decision-making.
Partners with IT Data Mart teams to align business logic, data definitions, and reporting usage with enterprise data models, standards, and production implementations.
Uses AI-assisted analytics and coding tools responsibly to accelerate analytics delivery and improve quality where they provide clear business value.
Provides technical guidance and supports peer development to analysts through design reviews, knowledge sharing, and problem solving.
Performs other duties as assigned.