Data Analyst

Summary

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.

Job Description

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

• 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.

Qualifications

• 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.

About Guidewire

Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.

As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.

For more information, please visit and follow us on Twitter: @Guidewire_PandC.

Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.

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