Key Facts

Remote From:

Canada , California (USA) , United States

Category: Data Analyst

Full time

Mid-level (2-5 years)

English

Hard Skills

Data Modeling Data Warehouse Architectures SQL (Programming Language) Python (Programming Language) Medical Insurance Claims Loss Prevention Policy Analysis Industry Trend Analysis Data Integration Data Science +17 more

Other Skills

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Strategic Planning
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Problem Reporting
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Collaboration
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Communication
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Teamwork
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Analytical Thinking
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Detail Oriented
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Problem Solving

Roles & Responsibilities

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)

Requirements:

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
Write queries and scripts using SQL and Python or R to extract and analyze data efficiently
Clean, organize, and merge structured data from internal and third-party sources

TRISTAR Insurance Group

Insurance

About TRISTAR Insurance Group

TRISTAR began as an insurance program manager and medical malpractice claims administrator in 1987. Workers compensation claims management services were added in our offerings in 1989, and the Company was renamed TRISTAR Risk Management in 1995. As managed care and benefits administration services were added to our offerings, the organization grew into TRISTAR. We are the largest privately held third party claims administrator in United States. We empower more than 1,000+ professionals in offices throughout the United States, focusing business operations in three divisions: property casualty claims management, benefits administration, and managed care services. We are true to our values of RESPECT, INTEGRITY, TRUST, and EXCELLENCE, making the right choices both financially and ethically. At TRISTAR we strive to create an environment of respect, wherein all of us are encouraged to learn and to grow, to provide exceptional service to our clients and in turn to enjoy the satisfaction that comes from a job well done. We believe that to provide real service, we must contribute something which cannot be bought or measured with money: sincerity and integrity. At TRISTAR, you help create a world in which together we "transform risk into opportunity".

Company type: SME

Industry: Insurance

Founded: 2018

Company size: 501 - 1000

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Job description

SUMMARY: In this role, you will support data analysis, data modeling and data warehousing efforts that directly impact our business, business partners and clients in claims, underwriting, and risk assessment strategies. Whether you’re a recent graduate or early in your career, this position offers a strong foundation in data science, data ware housing and insurance analytics, with opportunities for growth and development.

DUTIES AND 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).