Senior Data Analyst - Actuarial

Berkley•Chicago, IL

1d•Onsite

About The Position

The Data Analyst is responsible for collecting, processing, and analyzing large and complex datasets to generate actionable business insights, support actuarial and business operations, and drive innovation and efficiency throughout the organization. The role plays a central part in enabling data-driven decisions, supporting regulatory and financial compliance, and delivering robust analytical support to stakeholders across actuarial, underwriting, finance, and business development teams.

Requirements

Bachelor’s Degree, preferably in actuarial science, computer science, data science, mathematics, statistics, or a related field, or equivalent relevant experience.
Minimum of 2 years of experience in data analysis, business intelligence, or actuarial support environment preferred.
Advanced proficiency in Microsoft Excel and SQL; experience with actuarial, finance, and insurance data is desirable.
Proven initiative in process automation, technology adoption, and ongoing skill development using the latest tools in AI.
Strong analytical, problem-solving, and reconciliation ability.
Experience with business intelligence and data visualization tools (e.g., Tableau, Power BI) required.
Effective communication skills with both technical and non-technical stakeholders.
Advanced organization and time management skills, able to manage multiple priorities in a fast-paced environment.
Ability to work independently and collaboratively with functional teams to drive business results.
Familiarity with insurance regulatory reporting, SOX/audit compliance, and responding to external data calls (e.g., Schedule P, KPMG).
High attention to detail and commitment to ensuring data integrity.
Strong sense of accountability, confidentiality, and professional integrity.

Responsibilities

Deliver robust analytical and data support to actuarial, underwriting, finance, and product development teams—including for pricing, reserving, rate filings, profitability analysis, reconciliation, and regulatory compliance.
Drive innovation in reporting and analytics, supporting new product initiatives, advanced reporting capabilities, and implementing AI-based improvements in data delivery and business processes.
Leverage the latest artificial intelligence techniques, including AI agents, to automate, optimize, and enhance technical tasks—resulting in greater efficiency, reduced manual intervention, and smarter decision-making across operational processes.
Streamline and automate data processes for improved accuracy and efficiency, leveraging tools such as SQL, Excel, and emerging technologies including AI.
Enhance business intelligence and reporting, providing actionable insights and key metrics for executives, underwriting, sales, and business leadership, with a focus on productivity and strategic decision support.
Develop tools and methodologies to support underwriting effectiveness, including pre-screening, competitive intelligence, and regular profitability modeling to optimize business performance in a shifting market.
Manage and respond to regulatory and audit data requests, including preparation and submission of required datasets (e.g., Schedule P), supporting SOX and external auditor requirements.
Regular and predictable attendance