Delivering quarterly data reviews and database releases on schedule: identify trends, anomalies, emerging patterns, and quality issues across multiple lines of business, using our analytics platform.
Utilize your understanding of data analysis, data science, and data governance to develop automated and efficient ways to improve data quality and error detection to drive a data engineering roadmap to enhance overall efficiency of your role.
Monitor model performance and recommend actions based on deterioration in model efficacy or observation of model drift.
Collaborate with, and present to, internal stakeholders to ensure widespread access to and understanding of our core data assets, as well as emerging industry trends.
Apply your in-depth understanding of insurance coverages, pricing models, profitability measures, information quality control, and data governance to enhance understanding of model impacts.

Bachelor's degree in a STEM major or with STEM coursework learned in associated majors (Computer Science, Data Engineering, Data Science, Mathematics, Applied Mathematics, Statistics, Finance, Economics).
4+ years of professional experience in data analytics in the property and casualty insurance space with in-depth understanding of personal lines pricing.
Knowledge of commercial general liability insurance is a plus.
Extensive experience and demonstrated accomplishments leveraging analytical thinking and innovative problem solving.
Extensive experience in data analytics. Specifically, identifying correlations in trends and underlying drivers.
Working knowledge of ETL processes, data modeling, and database management systems.
Proficiency with SQL, Business Intelligence tools, and Microsoft Office.
Clear and concise communication skills, both verbal and written, as well as comfort presenting to senior leaders.
A strong desire to drive societal change using data, technology, and analytics.
Ability to work independently and as part of a team while working on concurrent projects.
Actuarial designation is a plus.

Lead Modeling Data Analyst

Key skills