Job Title: Data Analyst I

Company Name: TRISTAR Insurance Group

Job Details: $114k-$140k/yrRemoteFull,Time

Job Url: https://hiring.cafe/viewjob/lu44o6dmp2jr6vei

Job Description: Posted 2d agoData Analyst I@ TRISTAR Insurance GroupView All JobsWebsiteSignal Hill, California, United States$114k-$140k/yrRemoteFull TimeResponsibilities:Building dashboards, Developing reporting, Cleaning dataRequirements Summary:Bachelor's degree; 0-3 years data analytics; SQL, Python, R or SAS familiarity; data warehouse; visualization tools; detail-oriented; ability to work independently and with cross-functional teams.Technical Tools Mentioned:SQL, Python, R, SAS, Power BI, Tableau, Data Warehouse
POSITION 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).