Senior Decision Science Analyst – P&C Underwriting Analytics

USAA

Senior Decision Science Analyst optimizing underwriting strategies within USAA's personal lines Property & Casualty business. Analyzing complex data sets to inform critical business decisions and drive profitable growth.

Posted 7/17/2026full-timeSan Antonio • Arizona, Colorado, Florida, Texas, Virginia • 🇺🇸 United StatesSenior💰 $114,080 - $218,030 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in advanced analytical techniques and data visualization to drive business strategy and decision-making. Proficient in integrating and transforming data sources while effectively communicating insights to various management levels.

Highest-signal resume keywords

Data AnalysisStatistical TechniquesData VisualizationSQL ProficiencyQuantitative Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Mathematical TechniquesStatistical TechniquesData AnalysisExploratory Data AnalysisData Hygiene TechniquesData IntegrationAnalytical TechniquesBusiness AnalysisQuantitative AnalysisFact-Based Decision-Making

Soft Skills

CommunicationCollaborationInfluencingProblem-SolvingDocumentation

Tools & Technologies

SQLSASBI ToolsData Visualization ToolsEmerging Technologies

Industry Keywords

Data AnalyticsBusiness StrategyOperationalizing RecommendationsData SourcesCurrent Data Trends

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams
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.
Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change
Translates recommendation into communication materials to effectively present to various levels of management.
Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.
Provides subject matter expertise in operationalizing recommendations.
Remains informed on current data and analytics trends.

Requirements

What you’ll need

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 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.
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 into new insights.

Benefits

Comp & perks

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