Join to apply for the Data Analyst I role at TRISTAR Insurance Group . Get AI-powered advice on this job and more exclusive features. Responsibilities Assist in building data warehouse, dashboards, and reporting tools for actuarial, claims, and underwriting teams. Collaborate with business units to develop data-driven insights for loss prevention and reserve modeling. Clean, organize, and merge structured data from internal and third-party sources. Write queries and scripts using SQL and Python or R to extract and analyze data efficiently. Ensure data integrity and accuracy in reports and data feeds used for compliance, audit, and strategic planning. Analyze claims, policy, and exposure data to identify trends in injury types, loss costs, and claim durations. Apply basic statistical techniques or predictive models to support pricing, claims triage, or fraud detection. Preferred Skills (Not Required) Knowledge of workers’ compensation insurance and claims workflows. Internship or project experience in insurance analytics, risk modeling, or predictive modeling. Understanding of regulatory reporting and industry data sources (e.g., NCCI, ISO). Qualifications Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. 0–3 years of experience in data science, analytics, or insurance-related projects (academic or professional). Familiarity with data tools such as SQL, Python, R, or SAS. Experience with data warehouse techniques and practices. Exposure to data visualization tools (e.g., Power BI, Tableau). Strong attention to detail, curiosity, and willingness to learn industry-specific data concepts. Ability to work independently and collaboratively with cross-functional teams. Additional Information Seniority level: Entry level Employment type: Full-time Job function: Information Technology Industry: Insurance This job posting appears active and does not indicate that it is expired. #J-18808-Ljbffr TRISTAR Insurance Group
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