Senior Business Intelligence Analyst - Enterprise Analytics

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. Business Data & Analytics is a Corporate Shared Service comprised of the existing data and analytics resources in  Predictive Analytics, Enterprise Data Management, Enterprise Analytics,   Enterprise   Telematics,  and  Business Transformation. Combining these units into one business technology and business data & analytics organization, provides a clearer line of sight across the P&C division for business decision-making and input to data and analytics investments; while better empowering, enabling and equipping our division-specific analytics teams the ability to outperform their peers. The Enterprise Analytics team is looking for a Senior Business Intelligence Analyst! 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. Essential Job Functions and Responsibilities Analyzes complex business issues and translates business questions, decisions, and terminology into requirements for trusted analytic products that improve decision-making and measurable business outcomes, supported by reusable semantic models and AI-assisted capabilities. Partners with business stakeholders, data owners, analytics professionals, product managers, and cross-functional product teams to define the business concepts, measures, relationships, rules, and requirements that give analytic products consistent meaning across reports, dashboards, and AI-assisted experiences. Designs, develops, tests, and maintains reusable semantic models as core components of analytic products, organizing business entities, measures, relationships, definitions, and access rules for reporting, self-service analytics, and agent-assisted use cases. Creates and maintains the business-friendly metadata, data definitions, lineage, model diagrams, and usage guidance needed for people and AI-enabled tools to interpret and use analytic products consistently. Develops end-user guidance and training that support adoption and effective use of analytic products. Manages the analytic product lifecycle by defining success measures with business partners; monitoring adoption, quality, performance, and business impact; evaluating priority questions, expected answers, failure patterns, and escalation criteria for AI-assisted experiences; and refining products and supporting semantic models as needs, data, and AI capabilities evolve. Advises business stakeholders on analytics and AI-assisted use cases, helping teams frame meaningful questions, interpret results, improve data literacy, and determine when human review is required. Partners with product managers and business leaders to prioritize opportunities, manage dependencies and risks, influence decisions, and communicate product value to executive stakeholders so analytic products are delivered incrementally and achieve intended business outcomes. May have responsibility for