Chubb
From Chubb's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
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.
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.
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.
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.
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