Assc Analytics & Model Analyst

Skills and Competencies

• 0 to 2 years of academic, internship, or professional experience in data analytics, statistical analysis, research, or related analytical fields
• Strong proficiency in SQL for data extraction, validation, reconciliation, quality assurance, and analytical problem-solving
• Working knowledge of Python and data analysis libraries such as Pandas and NumPy to process, analyze, and interpret large datasets
• Strong analytical, logical reasoning, and critical-thinking skills, with the ability to identify trends, anomalies, and data quality issues. Effective communication and presentation skills, with the ability to translate analytical findings into actionable insights for technical and non-technical stakeholders
• Demonstrated ability to learn new tools, datasets, and analytical concepts quickly while working independently and collaboratively in a fast-paced environment
• Strong prompting and agentic AI skills, with an interest in leveraging AI-driven solutions to enhance analytical workflows and process efficiency

Education

Responsibilities

• Analyze structured, semi-structured, and geospatial datasets to identify patterns, trends, anomalies, and opportunities for improvement.Support the development and enhancement of property insurance datasets, spatial data layers, analytical products, and data-driven solutions
• Perform exploratory research and analytical studies to support catastrophe modeling, product development, and data improvement initiatives
• Conduct data validation, reconciliation, testing, and quality assurance activities to improve data accuracy, completeness, and consistency