Decision Science Analyst – I

USAA

Decision Science Analyst providing decision support with quantitative analysis for business strategies at USAA. Collaborating with teams to drive change through data-driven recommendations.

Posted 4/16/2026full-timeSan Antonio • Texas • 🇺🇸 United StatesMid-LevelSenior💰 $93,770 - $179,240 per yearWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Provide decision support for business areas across the association.
Responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations.
Gather, manipulate and synthesize data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to make recommendations resulting in implementable strategies.
Participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.
Apply advanced analytical techniques to solve business problems that are typically medium to large scale.
Translate recommendation into communication materials to effectively present to colleagues for peer review and management.
Incorporate visualization techniques to support the relevant points of the analysis.
Identify and gather the relevant and quality data sources required to fully address the problem for the recommended strategy through testing or exploratory data analysis (EDA).

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.
4 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 with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance).
Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
Intermediate and some 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.

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

mathematical techniquesstatistical techniquesquantitative analysisdata manipulationdata synthesisdata analysisexploratory data analysisdata visualizationSQLSAS

Soft Skills

decision supportcollaborationcommunicationinfluenceproblem-solvingpresentation skillscritical thinkingstrategic thinkingpeer reviewadaptability