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.
501 - 1000 employees
Founded 1987
🤝 B2B
⚕️ Healthcare Insurance
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.
501 - 1000 employees
Founded 1987
🤝 B2B
⚕️ Healthcare Insurance
📋 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
Apply NowSimilar Jobs
October 16
Data Analyst managing Yardi Voyager 7S data for Link Logistics. Responsible for data organization, reporting, and custom report development to drive efficiency.
🇺🇸 United States – Remote
💵 $75k - $85k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
📉 Data Analyst
🦅 H1B Visa Sponsor
October 16
Assessment Data Analyst supporting cybersecurity assessment initiatives at Hunter Strategy. Aggregating individual cybersecurity assessments to measure overall posture of business units and the organization.
October 15
Data Analyst focusing on SQL and Python to derive insights at Indium. Responsibilities include data analysis, trend identification, and collaboration with teams.
🇺🇸 United States – Remote
💰 $1M Venture Round on 2006-04
⏰ Full Time
🟢 Junior
🟡 Mid-level
📉 Data Analyst
🦅 H1B Visa Sponsor
October 14
Data Analyst leveraging blockchain data to drive insights and influence product strategy in the Web3 ecosystem. Analyzing user behavior and Dapp performance for ecosystem growth.
October 9
Data Analyst supporting SSA’s employment support initiatives by analyzing data to enhance decision-making. Collaborating with stakeholders to ensure data quality and integrity in program management.