Data Analyst
Guidewire Software
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $124,000 - $186,000 per year
Job Level
SeniorLead
Tech Stack
GuidewireSQL
About the role
- Participate in multiple simultaneous projects with a focus on preparing and understanding data needed for predictive modeling and machine learning projects
- 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.
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.
Benefits
- health, dental, and vision insurance
- paid time off
- company sponsored retirement plan
- annual company bonus plan
- commissions and/or long term incentive awards
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data interrogationexploratory data analysisdata profilingdata reconciliationfeature creationdata reportingSQLstatistical analysismodeling datasetsNLP
Soft skills
problem solvingcommunicationself-motivateddetail-orientedproject planningcollaborationinnovationcontinuous improvement