Sr Data Analyst

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 support a host of products the US P&C industry relies on.

We can't wait for you to join us!

You will serve as subject matter expert for all data and related information for several insurance carriers 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 be expected to manage stakeholder expectations across multiple deliverables.

You will be expected to develop expertise in multiple lines of business, AGILE project management, and advanced analytics using SQL on our cloud data warehouse, being at the forefront of data analytics for the P&C industry.

Your responsibilities include:


* Delivering quarterly data reviews on schedule: identify trends, anomalies, emerging patterns, and quality issues for multiple carriers, across multiple lines of business, using our analytics platform.


* Be responsible for the relationship with multiple carriers, advancing the value proposition of our data service to increase the volume of usable data contributed to us.


* 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.


* Utilize your understanding of data analysis, data science, and data governance to develop automated and efficient ways to improve data quality and error detection.


* Develop in-depth understanding of insurance coverages, actuarial concepts, analytic models, information quality control, and data governance.



* 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).


* 2+ years of professional experience in data analytics.

Insurance industry specific experience is preferred.


* Working knowledge of data analytics, ETL processes, 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 leading customer...