Responsibilities
- Drive the development and scaling of continuous monitoring and anomaly detection capabilities to reduce programmatic risk across the Auto portfolio.
- Improve data accuracy and early issue detection across rating programs, key business metrics, and Auto program results.
- Build scalable monitoring processes, tools, dashboards, and analytical frameworks that support future-state portfolio monitoring and program-level analysis.
- Reduce manual effort and response time through automation, improved reporting, and cross-functional coordination.
- Support program-level monitoring for Personal Lines Auto pricing programs by analyzing key metrics, identifying emerging trends, and assessing whether results are performing as expected.
- Query, manipulate, and analyze large datasets to investigate anomalies, identify root causes, and communicate actionable insights to technical and non-technical audiences.
- Partner with teams across USDS, the Data Office, IT, Risk Analytics, Underwriting, State Management, and other business areas to identify issues, coordinate solutions, and improve monitoring effectiveness.
- Provide timely updates and recommendations to stakeholders on monitoring results, data quality, program performance, and emerging risks.
Requirements
- Strong analytical, problem-solving, and decision-making skills, with the ability to identify patterns, investigate root causes, and develop practical recommendations.
- Proficient in SQL, Power BI, Excel, PowerPoint, and Snowflake.
- Experience building dashboards, reporting tools, analytical frameworks, and repeatable processes.
- Ability to communicate complex analytical findings clearly and effectively to technical and non-technical audiences.
- Strong planning, organizational, analytical, decision-making, and communication skills
Nice to Have
- Experience with Python and GitHub preferred.
- Prior experience in Personal Lines, auto insurance, pricing, product, or broader insurance analytics.
- Experience with anomaly detection, continuous monitoring, data quality monitoring, automation, or early issue detection.
- Experience partnering with data, technology, underwriting, risk analytics, state management, or product teams.
- Familiarity with insurance rating programs, pricing implementations, or post-launch program evaluation.
Work Arrangement
Hybrid — Portsmouth, NH, Boston, MA, Plano, TX, Indianapolis, IN, Columbus, OH
Additional Information
- This role has a hybrid work schedule (2 days onsite) for candidates based in Portsmouth, NH, Boston, MA, Plano, TX, Indianapolis, IN and Columbus, OH. Otherwise, this role is remote.
