Senior Business Intelligence Analyst - Enterprise Analytics

Great American Insurance Group is an insurance organization with a Business Data & Analytics unit supporting enterprise-wide business decision-making. The Senior Business Intelligence Analyst will analyze complex business issues, translate business needs into analytic products, develop reusable semantic models, and guide stakeholders in using analytics and AI-assisted capabilities to achieve measurable outcomes.

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 performance and coaching of staff and may have a participatory role in decisions regarding talent selection, development, and performance management for direct reports
• Performs other duties as assigned

Requirements:

• Applicants must be authorized to work in the United States without the need for current or future sponsorship
• Bachelor's degree in Business, Information Technology, Computer Science or a related field
• 4 or more years of advanced experience in business analysis, analytics development, business intelligence, data modeling, product delivery, or a related discipline, with demonstrated success translating complex business needs into analytic products that influence decisions and deliver measurable outcomes
• Experience designing or maintaining BI applications, analytic products, or semantic models is required
• Serves as a senior contributor on complex analytic products, combining business judgment, product thinking, and advanced analytics practices to shape priorities and influence senior and executive stakeholders
• Translates business and technology knowledge into clear product direction, governed definitions, measures, relationships, rules, and solution guidance
• Recommends effective practices and tools for product discovery, business analysis, semantic modeling, AI evaluation, testing, and documentation
• May serve as a senior member of an agile product team and provides technical and professional guidance to less experienced team members
• Uses AI-assisted tools effectively, validates outputs and failure conditions, protects sensitive information, communicates limitations, and maintains human accountability for business decisions
• Demonstrates advanced analytical, communication, facilitation, and executive presentation skills
• Practical experience using AI-assisted tools to improve analysis, development, documentation, evaluation, or testing