Lead Modeling Data Analyst

Description

Job Description

The Analytical Data Services (ADS) division of Verisk’s ISO business is the information refinery for our insurance-industry-experience data stores, ensuring that the country’s largest database of P&C policy and claims information can effectively support the analytical engines underlying the pricing of the US P&C insurance market. 

We are a hybrid team of data analysts, data engineers, BI developers, and actuarial-engineers that are responsible for the design and implementation of our core data-systems including data ingestion, data integration, data transformation, data analysis, and BI development. 

We are committed to improving the data & analytics platform that supports a host of products the US P&C industry relies on. We cannot wait for you to join us! 

You will serve as subject matter expert for all data and related information for several product owners across multiple lines of business. You will collaborate with other data analysts and stakeholders to understand and explain industry trends and develop expertise across our product portfolio. Additionally, you will have the opportunity to develop new tools and services to support our global operations. You will manage stakeholder expectations across multiple deliverables and expand your expertise in multiple lines of business, AGILE project management, and advanced analytics using SQL on our cloud data warehouse. You will be at the forefront of data analytics for the P&C industry. 

Responsibilities

• 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.

Qualifications

• 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.

You will be part of a culture that celebrates success, recognizes and rewards achievements and excellence, and provides personal and professional enrichment opportunities.

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