Employer Industry: Information Technology

Why consider this job opportunity:
- Salary up to $140,000 per year
- Opportunity for career advancement and growth within the organization
- Collaborative work environment with cross-functional teams
- Chance to develop data-driven insights for loss prevention and reserve modeling
- Engage in meaningful projects that support pricing, claims triage, and fraud detection

What to Expect (Job Responsibilities):
- Assist in building data warehouses, dashboards, and reporting tools for actuarial, claims, and underwriting teams
- Collaborate with business units to develop data-driven insights
- Clean, organize, and merge structured data from internal and third-party sources
- Write queries and scripts using SQL and Python or R for data extraction and analysis
- Analyze claims, policy, and exposure data to identify trends and support strategic planning

What is Required (Qualifications):
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- 0–3 years of experience in data science, analytics, or insurance-related projects
- Familiarity with data tools such as SQL, Python, R, or SAS
- Experience with data warehouse techniques and practices
- Strong attention to detail, curiosity, and a willingness to learn industry-specific data concepts

How to Stand Out (Preferred Qualifications):
- 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)

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