West Bend is looking to solve Property & Casualty insurance business problems by leveraging data analysis, reporting, and model development to uncover business insights, contribute to predictive modeling efforts, and translate business needs into analytical solutions.
Requirements
- 0-2 years analytics/predictive modeling experience.
- Basic understanding with insurance data, data sources, and basic processes
- Familiarity statistical modeling techniques and use of statistical platforms (SAS, R, and Python)
- Ability to work with structured data and willingness to learn cloud data tools.
Responsibilities
- Assist in analyzing P&C insurance data and learning to uncover insights using statistical, algorithmic, data-mining, and visualization techniques.
- Support the preparation of analytics and reporting that contribute to leadership decision-making.
- Learn to develop and apply basic predictive models and algorithms to business functions such as pricing, underwriting, and claims.
- Help translate business needs into analytic tasks and reporting requirements.
- Document and share modeling work under guidance for business users and stakeholders.
- Support data gathering and prioritization for analytical projects.
- Learn to identify internal and external data sources and contribute to solution development.
Other
- Candidates who reside within 50 miles of an office location (West Bend, Madison, Appleton) will be offered a hybrid work schedule.
- Candidates who are fully remote (beyond 50 miles) may occasionally be asked to travel to an office location for in-person engagement activities such as team meetings, training and corporate events.
- Oral and written communication skills
- Interpersonal and collaboration skills
- Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or related field.
