remote
Lead Business Analyst - Actuarial Data & Tools - AIG
Data Analyst
Lead Business Analyst driving actuarial data strategy and tool development, leveraging SQL, Python, and data visualization to support commercial lines underwriting and risk management.
About the role
Key Responsibilities
- Define and implement data models and analytical frameworks for actuarial commercial lines, ensuring accuracy and scalability.
- Collaborate with actuarial, underwriting, and technology teams to design, build, and maintain reporting and analytics tools such as Tableau and SAS.
- Lead data governance initiatives, establishing standards, data quality metrics, and documentation for actuarial datasets.
- Translate business requirements into technical specifications, creating SQL queries, Python scripts, and automated workflows.
- Drive Agile delivery cycles, prioritizing backlog items, facilitating sprint planning, and ensuring timely delivery of data solutions.
Requirements
- 5+ years of experience in business analysis or data analytics within insurance, preferably actuarial commercial lines.
- Strong proficiency in SQL and Python for data extraction, transformation, and analysis.
- Hands‑on experience with data visualization tools (Tableau, Power BI) and statistical software (SAS, R).
- Demonstrated ability to design data models, enforce data governance, and improve data quality.
- Excellent communication and stakeholder management skills, with a track record of leading cross‑functional Agile teams.