Intermediate Decision Science Analyst - P&C Analytics

USAA•Tampa, FL

1d•$77,120 - $147,390•Remote

About The Position

The Intermediate Decision Science Analyst supports optimization of underwriting strategies within USAA’s personal lines Property & Casualty business. The role manages the end-to-end process of acquiring, synthesizing, and analyzing complex data sets to inform business decisions related to risk precision, risk sharing, risk mitigation, and risk acceptability, with the goal of driving profitable growth and enhancing member protection. The analyst works with cross-functional teams to understand business objectives and shape solution strategies. They apply advanced analytical techniques and quantitative approaches to develop conclusions and recommendations, communicate findings to technical and non-technical audiences, and influence business decisions and strategy. The position is remote eligible in the continental U.S. with occasional business travel. Employees living within 60 miles of a USAA office are expected to work on-site four days per week.

Requirements

Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or another business or quantitative field; alternatively, four years of relevant education and/or experience.
Two years of experience in data/analytics or functional business experience in the relevant industry, such as Property & Casualty, banking, or finance; alternatively, an advanced degree in a quantitative analytics discipline.
Intermediate knowledge of mathematical and statistical techniques used for fact-based decision-making.
Intermediate knowledge of data analysis and visualization tools, developing queries and procedures in SQL, SAS, BI tools, or other analysis software, and relevant industry data and methods.

Nice To Haves

Work experience supporting core Property & Casualty insurance functions.
Experience using Python for data analysis.
Experience presenting analytical insights and telling stories with data to non-technical audiences.
Working understanding of statistical modeling principles and ability to interpret model outputs for actionable business insights.
Desire to continuously learn and refine analytical techniques and Property & Casualty insurance business knowledge.
U.S. military experience through military service or as a military spouse/domestic partner.

Responsibilities

Participate in cross-functional discussions, applying business, analytical, and technical knowledge to understand objectives and influence solution strategies.
Apply advanced analytical techniques to solve medium- to large-scale business problems that may affect current or future strategy.
Use scientific and quantitative approaches to draw conclusions and recommend actions that address business objectives and drive change.
Translate recommendations into communication materials for peer review and presentation to senior or lead analysts.
Use visualization techniques to highlight analytical findings and make them easier for less technical audiences to understand.
Support identification and collection of relevant, quality data sources through testing or exploratory data analysis.
Document assumptions, methodology, validation, and testing for peer review and compliance.
Adopt emerging technologies that may affect scientific or quantitative approaches to problem-solving.
Deliver findings in a way that builds understanding and support, influences mid-level management, and informs business decisions and strategy.
Ensure business risks are identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.