Senior Decision Science Analyst – Property Claims, Workforce Analytics

Role Overview

• Provides advanced decision science support by leading complex analytics projects, mentoring junior analysts, and driving thought leadership that elevates analytic maturity across the team.
• Partners closely with business leaders to shape strategies that improve workforce performance and operational efficiency.
• Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.
• Translates recommendation into communication materials to effectively present to various levels of management.
• Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
• Remains informed on current data and analytics trends, and identifies opportunities to continue to learn in the data and analytics space.

Requirements

• Bachelor's degree in 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 may be substituted in lieu of degree.
• 6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).
• Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
• Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
• Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

Tech Stack

• SQL

Benefits

• Comprehensive medical, dental and vision plans
• 401(k)
• Pension
• Life insurance
• Parental benefits
• Adoption assistance
• Paid time off program with paid holidays plus 16 paid volunteer hours
• Various wellness programs
• Career path planning and continuing education