Data Engineer | 2025 Early Career Foundations Program

Position Summary:

This opportunity is for May/June 2025 graduates to begin their career.

The start date for this position is July 2025.

If you have a passion for detail and a deep understanding of Statistical Reporting in the P&C industry, this is the opportunity for you.

We are expanding our team of Data Engineers so that we can effectively partner with our clients to understand their policy and claims data and help them transform their bureau reporting processes.

We need people who can combine an understanding of data management, regulatory requirements, and client engagement skills to be part of our journey.

The Data Engineer will be responsible for providing requirements specifications for new and changes to existing regulatory reporting.

This includes new requirements from the bureaus and coordinating with the regulatory reporting business unit, application, and reporting teams.

In addition to the role, you will also have an opportunity to participate in Verisk's Early Career Foundations Program (ECFP).

Verisk's ECFP is the perfect place to launch your career.

When you join Verisk in your first professional role, you'll join an ECFP cohort alongside other recent graduates working across our global businesses.

In your first year, you'll embark on a unique developmental journey, gaining access to senior leaders through business insight sessions, networking opportunities to build community with your cohort, and professional development programming to enhance your soft skills.

All of this is designed to fully integrate you into the Verisk community!



* Broad and deep understanding of policy, premium, claim, and loss data for the P&C insurance industry.


* Work closely with data reporting business units and understand client's Policy Admin and Claims datasets and able to map this data to internal data warehouse/data model standards.


* Document client data sources and perform gap analysis to identify data transformation and quality requirements.


* Work closely with ETL team to implement data transformation rules, data validations in the data warehouse.


* Excellent documentation capabilities for business requirements gathering such as user stories, functional specs, data mapping, wireframe/prototyping, and systems design, including data migration rules, business rules, wireframes, or other detailed deliverables.


* Document data sources on client projects and perform gap analysis to identify the inflow of bad data into the data warehouse and develop recommendations and solutions.


* Gather business requirements for the data warehouse and derive the data requirements and data fields for data warehouse implementation.


* Coordinate with data reporting teams to understand their requirements and represent them to the data warehousing organization.


* Development of test cases, SQL scripts for Unit testing, and performance testing


* Responsible for assessing data gaps for P&C Insurance clients and devel...