Decision Science Analyst II (Intermediate) - Property & CAT Claims Analytics

About the Role

Key Responsibilities

• Leverages intermediate business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.
• Applies advanced analytical techniques to tackle medium to large scale business problems impacting current and future strategies.
• Uses scientific and quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change.
• Translates recommendations into communication materials for peer review and presentation to colleagues and senior/lead analysts.
• Incorporates visualization techniques to support analysis points and facilitate understanding for less technical audiences.
• Supports identifying and gathering relevant, high-quality data sources to fully address business problems through testing or exploratory data analysis (EDA).
• Thoroughly documents assumptions, methodology, validation, and testing to facilitate peer reviews and ensure compliance.
• Embraces emerging technology that can impact scientific methodologies and analytical approaches.
• Delivers analysis and findings in a manner that conveys understanding, influences mid-level management, garners support, and drives business decisions and strategy.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies.

Requirements

• Bachelor's degree in a quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or other quantitative discipline; or 4 years of related experience in statistics, mathematics, or quantitative analytics in lieu of degree.
• At least 2 years of experience in data/analytics or functional business experience within the respective industry (e.g., P&C, Bank, Finance) or an advanced degree in a related field.
• Demonstrates intermediate knowledge of mathematical and statistical techniques used for fact-based decision-making.
• Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools, or other analysis software.
• Ability to connect external insights to business problems.

Nice to Have

• Proficiency in using GIS software (e.g., ArcGIS, QGIS).
• Hands-on experience using SQL and/or Python.

Qualifications

• Educational background in a quantitative discipline or equivalent experience.
• Experience with statistical and mathematical techniques.
• Proficiency with data analysis and visualization tools such as SQL, SAS, BI tools, Python, or GIS software.

Benefits & Perks

• Competitive salary range of $77,120 - $138,810, based on experience and market data.
• Comprehensive medical, dental, and vision plans.
• 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off with holidays and volunteer hours.
• Wellness programs and career development opportunities.
• Support for professional goals through continuing education.