Senior Decision Science Analyst – Property Claims, Workforce Analytics

USAA

. Provides advanced decision science support by leading complex analytics projects, mentoring junior analysts, and driving thought leadership that elevates analytic maturity across the team.

Posted 4/2/2026full-timeArizona, Colorado, Florida, North Carolina, Texas • 🇺🇸 United StatesSenior💰 $114,080 - $205,340 per yearWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Provides advanced decision science support by leading complex analytics projects, mentoring junior analysts, and driving thought leadership that elevates analytic maturity across the team.
Partners closely with business leaders to shape strategies that improve workforce performance and operational efficiency.
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.
Translates recommendation into communication materials to effectively present to various levels of management.
Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
Remains informed on current data and analytics trends, and identifies opportunities to continue to learn in the data and analytics space.

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 of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) 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 of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).
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 (data wrangling, data munging) 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysisstatistical techniquesdata visualizationSQLSASdata wranglingdata mungingquantitative analyticsmathematicsbusiness analysis

Soft Skills

mentoringcommunicationstrategic thinkingleadershipcollaborationproblem-solvinganalytical thinkingdecision-makingpresentation skillsadaptability