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&plus 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.
