Lead Decision Science Analyst

USAA

. Serve as a strategic partner to Contact Center leaders using advanced analytics, predictive modeling, experimentation, and AI-driven insights .

Posted 10/7/2026full-timeUnited StatesSenior💰 $143,320 - $273,930 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in data analytics, predictive modeling, and strategic communication to drive business solutions and optimize performance. Proficient in leveraging advanced analytical tools and methodologies to assess risks, identify opportunities, and enhance operational effectiveness within the banking industry.

Highest-signal resume keywords

Data Analytics ExperiencePredictive ModelingSQL ProficiencyData Visualization ExpertiseBanking Industry Knowledge

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Statistical AnalysisPredictive AnalyticsPortfolio AnalyticsData TransformationBusiness AnalysisExperimentation FrameworksDecision ScienceQuantitative MethodologiesRisk AssessmentPerformance Monitoring

Soft Skills

Strategic ThinkingExecutive-Level CommunicationCoaching and MentoringProblem FramingCross-Functional Collaboration

Tools & Technologies

PythonSQLSnowflakeStreamlitTableauBI ToolsData Analysis SoftwareAI-Enabled SolutionsGenerative AIConversational Analytics

Industry Keywords

BankingContact Center StrategyCustomer OperationsWorkforce OptimizationRegulatory Compliance

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Serve as a strategic partner to Contact Center leaders using advanced analytics, predictive modeling, experimentation, and AI-driven insights
Assess emerging risks, performance gaps, customer behavior shifts, operational friction points, and growth opportunities
Lead discussions with cross-functional teams and drive analytical solution strategies
Apply quantitative methodologies and analytics to identify portfolio risks, opportunities, root causes, trends, and performance drivers
Organize and oversee requirements development and ensure adequate staffing
Lead business cases and strategic recommendations balancing business needs, risk, operations, and profitability
Translate analytical findings into executive-level communication materials using data visualization and storytelling
Document assumptions, methodologies, testing, validation, implementation requirements, and performance monitoring processes
Partner with business, risk, technology, operations, and control stakeholders to implement strategies, define success metrics, monitor performance, and optimize solutions
Develop internal talent through thought leadership, coaching, and mentoring
Champion innovation by evaluating emerging analytical capabilities, tools, technologies, and methodologies
Research and experiment with emerging analytical approaches, data assets, AI-enabled solutions, and decision science techniques
Design, execute, and improve solutions supporting portfolio growth, operational effectiveness, and regulatory compliance
Ensure business risks are identified, measured, monitored, and controlled according to risk and compliance policies

Requirements

What you’ll need

Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience
8 years of data and analytics experience OR an advanced degree in a quantitative analytics field and 6 years of data/analytics or functional business experience within the Banking industry
Expert experience applying statistical, predictive, profitability, and portfolio analytics
Ability to frame ambiguous business problems, develop testable hypotheses, evaluate tradeoffs, and convert analysis into implementable business strategies
Advanced experience integrating, transforming, validating, and analyzing internal and external data sources
Business acumen, strategic thinking, and executive-level communication and presentation skills
Expert knowledge of data analysis tools, data visualization, SQL, SAS, BI tools, analysis software, and relevant industry data and methods
US military experience gained through military service or as a military spouse/domestic partner
Banking or financial services experience supporting Contact Center strategy, customer operations, workforce optimization, or member experience initiatives
Experience designing and deploying predictive models, experimentation frameworks, and decision science solutions in production
Advanced proficiency with Python, SQL, Snowflake, Streamlit, and Tableau
Experience delivering business value through Generative AI, LLMs, AI agents, or conversational analytics
Must not require immigration support or visa sponsorship, including H-1B, TN, or STEM OPT Training Plans

Benefits

Comp & perks

Flexible work environment with hybrid flexibility for active-duty military spouses, consistent with policy and business needs
Pay incentives may be available based on corporate and individual performance, at the discretion of the USAA Board of Directors
Comprehensive medical, dental, and vision plans
401(k)
Pension
Life insurance
Parental benefits
Adoption assistance
Paid time off program
Paid holidays
16 paid volunteer hours
Wellness programs
Career path planning
Continuing education and professional development support