Data Analyst with AI

Data Analyst with AI We are seeking a detail-oriented and analytical Data Analyst with AI knowledge to join our team. This role will be responsible for collecting, cleaning, analyzing, and interpreting data to support business decision-making. The ideal candidate must have strong SQL and data visualization skills; should be able to leverage AI to build skills to perform tasks efficiently, a solid understanding of insurance or policy administration data structures, and preferably knowledge of Guidewire and Guidewire Data model. Key Responsibilities: • Analyze data from OLTP (transactional) systems and design/build extraction logic to feed OLAP structures such as data warehouses, data marts, and data vaults. • Write complex SQL queries to extract and analyze data from relational databases and data warehouses. • Familiarity with the insurance domain — Policy, Claims & Billing. • Strong technical skillset, with the willingness and ability to take on tasks outside core competency as needed. • Gather, clean, and validate data from multiple internal and external sources, including core insurance systems. • Perform data analysis to identify trends, patterns, and insights that guide business strategy and decision-making. • Collaborate with cross-functional teams to support data-driven projects and initiatives. Required Qualifications: • 3+ years of experience in a data analyst or similar analytical role. • Strong proficiency in SQL and experience working with relational databases. • Understanding of OLTP vs. OLAP concepts and experience building extraction/transformation logic to populate data warehouses, data marts, or data vault models. • Strong analytical, problem-solving, and critical-thinking skills. • Excellent communication skills with the ability to translate technical findings for non-technical audiences. • High attention to detail and commitment to data accuracy. Preferred Qualifications: • Experience working with Guidewire or other P&C insurance systems. • Exposure to AI agents, including building agents to drive efficient outcomes.