Analytics Manager - Great American Risk Solutions

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. 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.

At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.

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.

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 an Analytics Manager to serve as a people leader and business partner, overseeing analytics delivery, guiding team execution, and helping scale team capabilities as demand continues to grow. This role emphasizes ownership of analytics execution, prioritization, and quality across core reporting domains, along with technical proficiency and the proactive adoption of modern tools and methodologies.

The ideal candidate brings strong analytical judgment, a business‑focused mindset, and a passion for developing and coaching others.

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.

• Coordinates the daily operations of the data team, ensuring efficient workflow and productivity.
• Oversees analytical work across reporting and analytics initiatives, ensuring data is accurately integrated, evaluated, and interpreted to support strategic business objectives.
• Ensures data integrity and accuracy through regular audits and validation checks.
• Leads the development and delivery of reports, dashboards, visualizations, and business intelligence solutions to provide actionable insights to stakeholders.
• Manages, coaches, and develops a team of three analysts, supporting skill development, performance management, consistent quality, and professional growth.
• Works closely with analytics peers, leadership, and enterprise partners to align priorities, share knowledge, and continuously improve analytics capabilities.
• Partners closely with business stakeholders to understand reporting and analytics needs, translate requirements into actionable work, and deliver high‑impact solutions.
• Collaborates with data mart and IT teams to support reporting and analytics initiatives, ensuring data quality, availability, and successful platform modernization efforts.
• Responsible for identifying and implementing process improvements and modern analytics capabilities to enhance data collection, analysis, reporting efficiency, and business insight delivery.
• Ensures documentation is developed and maintained for analytics processes, workflows, reporting standards, and data definitions.
• Contributes hands‑on analytical work as needed, particularly for complex, time‑sensitive, or high‑impact deliverables.
• Performs other duties as assigned.

• Education:
  
  Bachelor’s Degree or equivalent experience required; master’s degree or professional license/certification a plus.
• Field of Study:
  Business, Finance, Accounting, Computer Science, or related quantitative or technology discipline preferred.
• Experienc…