Data Analyst (100% Remote)Duration: 6-12 Months Location: Schaumburg, IL Rate: DOEKey ResponsibilitiesAnalyze travel insurance policy and claims data to identify trends, anomalies, and business opportunities.Interpret policy wordings, coverage terms, exclusions, perils, and benefit structures.Compare internal travel insurance products against competitor offerings to benchmark:Coverage levelsBenefit limitsDeductibles and exclusionsClaims experience and settlement patternsProduct features and pricing attributesUtilize LLMs and GenAI solutions to:Extract information from policy documents.Compare policy wordings across carriers.Identify differences, gaps, overlaps, and coverage variations.Summarize policy and claims insights for business stakeholders.Develop reports, dashboards, and scorecards highlighting policy and claims performance.Conduct benefit-level analysis across products and produce variance reports using AI-assisted techniques.Collaborate with underwriting, product management, actuarial, and claims teams to support product development and optimization.Create data models and analytical frameworks to support competitive intelligence and regulatory reviews.Required Skills5+ years of experience in Data Analytics, preferably within Insurance.Strong understanding of Travel Insurance products, policy formation, coverage, exclusions, perils, and claims processes.Experience working with policy administration and claims datasets.Proficiency in SQL, Python, Excel, and BI tools (Power BI/Tableau).Hands-on experience with GenAI, LLMs, NLP, RAG, or document intelligence solutions.Ability to translate complex policy language into structured analytical insights.Strong communication and stakeholder management skills.Preferred QualificationsExperience with insurance product comparison and market benchmarking.Knowledge of underwriting and claims operations.Exposure to Azure OpenAI, GPT models, Claude, Gemini, or similar LLM platforms.Experience building AI-powered policy analysis or document comparison solutions.