Data Analyst

Guidewire Software

5d•$124,000 - $186,000

About The Position

Ready for a new challenge? Join Guidewire as a Data Analyst! We are building a new team to take advantage of our market leading position and access to data to build advanced predictive models and variables to drive the next generation of growth in the P&C insurance market. This is an opportunity to come on board early and shape our direction and have a broad impact on the insurance industry. At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI—empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.

Requirements

Bachelors or Masters degree or equivalent industry experience
Passion for solving complex data problems
7+ years of relevant experience
Deep experience with Guidewire PolicyCenter and ClaimCenter configuration and data
Deep experience with multiple US/Canadian P&C standard lines of business
Expert data profiling and analysis skills including basic statistical analysis
Hands on experience building modeling datasets for predictive modeling
Expert SQL skills, including advanced functions, table design, view creation, stored procedure and script design and coding, general performance tuning
Experience with P&C policy administration and claims processing concepts
Proficiency with Excel and Google sheets
Experience with DBT
Exposure to and understanding of NLP and other ML techniques
Experience and skill in communicating insights derived from data to both technical and non-technical personnel
Ability to plan and carry out projects with minimal direction
Self-motivated and detail-oriented with desire to solve problems
Demonstrated ability to embrace AI and apply it to your role as well as use data-driven insights to drive innovation, productivity, and continuous improvement.

Responsibilities

Participate in multiple simultaneous projects with a focus on preparing and understanding data needed for predictive modeling and machine learning projects. Includes: Data interrogation, exploratory data analysis, profiling, and reconciliation
Dataset creation and revision based on product manager and data scientist/actuarial input
Data harmonization across multiple customers
Feature creation and initial testing
Data reporting
Work collaboratively with other staff including product managers, data scientists, other data analysts, architects to solve problems, develop innovative approaches, and provide project status
Research data issues and drive understanding of how data is created and updated from both ClaimCenter and PolicyCenter configurations.
Create and manage data assets, data harmonization, and code with a focus on simplicity, scalability, reusability, and clear documentation
Additional work assignments not related to specific project work such as new feature development, external data research, providing user feedback on new products and tools under development