Mid Level Decision Science Analyst – Member Value

USAA

. Leverages intermediate and some advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies .

Posted 5/21/2026full-timeSan Antonio • Texas • 🇺🇸 United StatesMid-LevelSenior💰 $93,770 - $179,240 per yearWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Leverages intermediate and some advanced 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 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 recommendations into communication materials to effectively present to colleagues for peer review and mid-to-upper level 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
Delivers analysis/findings in a manner that conveys understanding, influences mid to upper 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 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
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 assistance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysisquantitative analysisstatistical techniquesdata visualizationSQLSASbusiness analysisexploratory data analysisdata hygiene techniquesanalytical techniques

Soft Skills

communicationcollaborationinfluencingproblem-solvingdocumentationpresentationpeer reviewrisk managementcritical thinkingdecision-making