Intermediate Decision Science Analyst – Member Value

USAA

Intermediate Level Decision Science Analyst at USAA driving member satisfaction and service strategies through analytics. Collaborating with business leaders to deliver actionable insights and improve performance metrics.

Posted 7/14/2026full-timeSan Antonio • Arizona, Colorado, Florida, North Carolina, Texas • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative analytics, applying advanced analytical techniques and data visualization to drive business strategy and decision-making. Proficient in data analysis tools and methodologies, ensuring compliance and effective communication of insights to stakeholders.

Highest-signal resume keywords

Quantitative AnalyticsData AnalysisData VisualizationSQLStatistical Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical TechniquesQuantitative AnalyticsExploratory Data AnalysisAnalytical Techniques

Soft Skills

CollaborationCommunicationInfluencingDocumentation

Tools & Technologies

SQLSASBI ToolsData Visualization Software

Industry Keywords

EconomicsFinanceStatisticsActuarial SciencesOperations Research

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

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 solve business problems that are typically medium to large scale with impact to current and/or future business strategy.
Applies 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 colleagues for peer review and senior/lead analysts.
Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
Supports identifying and gathering 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).
Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
Adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
Delivers analysis/findings in a manner that conveys understanding, influences up to mid level management, garners support for recommendations, drives business decisions, and influences business strategy.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

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 (in addition to the minimum years of experience required) may be substituted in lieu of degree.
2 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance) 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.
Demonstrates intermediate knowledge of mathematical and statistical techniques and approaches used to drive 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, and relevant industry data & methods and ability to connect external insights to business problems.

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