Research and Development Analyst

The Progressive Group of Insurance Companies has always lived up to its name by being one step ahead of the insurance industry, and finding new and affordable insurance solutions. We began in 1937 with the first drive-in claims office, became the first to introduce reduced rates for low-risk drivers, and then changed the insurance shopping experience by offering comparison rates on the Web.

If you enjoy developing product models that contribute to top-line growth, analyzing data to identify trends and improve products, then we have a role for you. Our Commercial Lines Research & Development group is seeking a R&D Analyst to dig into data to help answer business questions. A well-qualified candidate is intellectually curious, loves to work with data, strives for constant improvement and excels in a highly collaborative culture. Analysts with an insurance background in areas such as pricing or reserving have successfully moved to this R&D role. Our R&D Analysts are bold, innovative thinkers with uncompromised energy. Bring your statistical savvy and passion for providing quality solutions to work in a challenging, rewarding environment that welcomes and applauds Progressive thinking.

* Researching enhancements and new rating variables for our commercial insurance offerings * Conducting formal statistical analyses, for example, multidimensional weighted regression, using R or SAS as needed, including interpreting diagnostic information * Developing and supporting existing insurance rating models * Conducting ad hoc analysis using data analysis tools such as R or SAS This position requires strong skills in problem solving, communication and statistical analysis. Also a good sense of business judgment will be important in times when data may be fairly thin.

* Master's degree with an emphasis in Statistics, Mathematics, Economics, Engineering or Operations Research * In lieu of Master's degree, Bachelor's degree with 2 years of analysis experience * Ability to analyze data using statistical, mathematical or data mining methods * Basic to intermediate programming skills, including the ability to create basic programs using software such as SAS or R * Intermediate skills in Excel including the ability to create, manipulate and formulate spreadsheets. Knowledge of spreadsheet functionality including V-look-up, pivot tables, charts and graphing * Good communication skills, both verbal and written * Strong critical thinking and problem resolution skills * Strong project management skills * Ability to prioritize and multi-task effectively This position requires strong skills in problem solving, communication and statistical analysis. Also a good sense of business judgment will be important in times when data may be fairly thin.