TRISTAR Insurance Group
B2B • Healthcare Insurance
TRISTAR Insurance Group is a national third-party administrator (TPA) that provides insurance administration and risk management services to employers, insurers and public entities. Its solutions include property & casualty, workers' compensation, general and auto liability, managed care (bill review, case management, utilization review, nurse triage, pharmacy benefit management), absence and disability management, employee group benefits administration, and risk control and workplace safety services. TRISTAR emphasizes collaborative, technology-enabled and tailored services to transform risk into opportunity for its clients.
Data Analyst I
Job not on LinkedIn
October 24
TRISTAR Insurance Group
B2B • Healthcare Insurance
TRISTAR Insurance Group is a national third-party administrator (TPA) that provides insurance administration and risk management services to employers, insurers and public entities. Its solutions include property & casualty, workers' compensation, general and auto liability, managed care (bill review, case management, utilization review, nurse triage, pharmacy benefit management), absence and disability management, employee group benefits administration, and risk control and workplace safety services. TRISTAR emphasizes collaborative, technology-enabled and tailored services to transform risk into opportunity for its clients.
📋 Description
• 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
🎯 Requirements
• 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 • Familiarity with Data warehouse techniques and practices • Hands on any data warehouse product • 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.
🏖️ Benefits
• Health insurance • Retirement plans • Paid time off
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