Role Summary
The Actuarial Data Analyst will support underwriting, pricing, and claims analytics activities by analyzing data, developing insights, and partnering with business stakeholders to support reporting and decision-making.
Responsibilities
- Document data sources in the enterprise data catalog with metadata, lineage, and classification information.
- Develop aggregations and algorithms needed for reporting and analytics with low to moderate complexity.
- Implement minor changes to existing data visualization applications and reporting dashboards.
- Document modifications made to reporting applications.
- Partner with business teams to analyze requirements and identify data sources needed for analytics and reporting applications.
- Conduct full data lifecycle analysis to develop new insights for analytics and reporting dashboards.
- Provide recommendations to address data quality issues with source systems.
- Communicate approaches and findings with cross-functional teams.
- Build analytical tools to provide actionable insights into key business KPIs.
- Work with data engineers to optimize pipelines for scalability and data delivery when needed.
Qualifications
- Bachelor’s degree or higher in Actuarial Science or a related field preferred.
- 3–5 years of experience in actuarial analytics or a related analytical background.
- Auto insurance experience preferred.
- Intermediate English communication skills.
- Major in Actuarial Science preferred.
- Actuarial exam qualification is not required.
Technical Skills
- Strong analytical skills with the ability to research, assess, and develop observations and findings.
- Experience with SQL, databases, and/or data science.
- Some programming skills in Java, Python, and SQL are preferred.
- Experience with data and analytics frameworks supporting data lakes, warehouses, marts, reporting, and similar environments.
- Experience with data tools for visualization, analytics, and reporting.
- Ability to communicate findings and approaches clearly to cross-functional teams and stakeholders.
- Understanding of data security policies and procedures.
Preferred Experience
- Experience working with underwriting, pricing, claims, or actuarial teams.
- Familiarity with claims performance and KPI analysis, including loss ratio.
- Experience supporting business stakeholders in an insurance environment.