About the Role
This position is responsible for interpreting complex datasets related to personal injury cases, delivering insights that inform risk assessment and operational improvements.
Responsibilities
- Analyze claims data to detect patterns and anomalies
- Generate regular reports on case outcomes and settlement trends
- Collaborate with legal and insurance teams to clarify data needs
- Maintain data integrity across reporting systems
- Identify opportunities to streamline claims processing
- Support development of predictive models for injury severity
- Translate technical findings for non-technical stakeholders
- Monitor key performance indicators for claims resolution
- Validate data inputs from multiple sources
- Assist in audits by providing accurate data records
- Develop dashboards for tracking injury claim metrics
- Ensure compliance with data privacy regulations
- Work with case managers to refine data collection methods
- Evaluate effectiveness of current claims handling procedures
- Contribute to process documentation for analytical workflows
- Respond to ad-hoc data requests from leadership
- Track regional differences in injury claims and settlements
- Assess impact of policy changes on claim volumes
- Provide data support during legal proceedings
- Optimize database queries for faster reporting
- Participate in cross-functional improvement initiatives
- Maintain version control for analytical models
- Standardize definitions for injury classifications
- Review third-party data for accuracy and relevance
- Support training efforts for new team members
Compensation
Competitive salary based on experience
Work Arrangement
Hybrid work model with flexible office and remote options
Team
Part of a specialized analytics unit focused on personal injury claims
About the Team
The analytics team works closely with claims adjusters, legal advisors, and underwriters to ensure data-driven decisions. The group values precision, confidentiality, and clear communication.
Technology Stack
Primary tools include SQL Server, Power BI, Excel, and secure cloud storage. The team uses standardized templates for reporting and version-controlled repositories for models.
Available for qualified candidates
