Senior Decision Science Analyst – Life Company Data and Analytics

USAA

. Partner with leaders across product, underwriting, and sales to uncover insights that drive growth, improve member experiences, and inform strategic decisions .

Posted 10/8/2026full-timeUnited StatesSenior💰 $114,080 - $218,030 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced skills in data analysis, statistical techniques, and data visualization to drive strategic business decisions. Leverages expertise in SQL, Python, and emerging data methodologies to synthesize and analyze complex datasets for actionable insights.

Highest-signal resume keywords

Data AnalysisStatistical TechniquesSQLPythonData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Mathematical TechniquesStatistical ApproachesData WranglingData MungingMachine LearningOptimizationSimulationAdvanced AnalyticsQuantitative AnalysisBusiness Analysis

Soft Skills

Communication SkillsExecutive Presentation SkillsProblem-Solving

Tools & Technologies

SASBI ToolsData Visualization ToolsCloud TechnologiesData Mining

Industry Keywords

Life InsuranceHealth InsuranceAnnuitiesFinancial ServicesCustomer AnalyticsSales FunnelUnderwriting

Tech Stack

Tools & technologies

CloudIoTPythonSQL

About the role

Key responsibilities & impact

Partner with leaders across product, underwriting, and sales to uncover insights that drive growth, improve member experiences, and inform strategic decisions
Provide decision support for business areas across the association
Apply mathematical, statistical, innovative, and quantitative analytical approaches to answer business objectives and drive change
Gather, manipulate, and synthesize attributes, transactions, behaviors, models, and other relevant data
Draw conclusions and make insight-to-action recommendations that result in implementable strategies
Participate in or lead cross-functional discussions to understand complex business objectives and influence solution strategies
Solve medium- to large-scale business problems with significant current or future strategic impact
Translate recommendations into communication materials for management
Use data visualization to make analyses understandable to less technical audiences
Identify and gather relevant, high-quality data sources through testing or exploratory data analysis
Integrate and transform disparate data sources and apply appropriate data hygiene techniques
Document assumptions, methodology, validation, and testing for peer review and compliance
Adopt emerging technologies affecting scientific and quantitative analytical methodologies
Deliver findings to influence management, business decisions, and strategy
Provide subject matter expertise in operationalizing recommendations
Stay informed on data and analytics trends including cloud, data mining, Python, neural networks, sensor data, IoT, and streaming/NRT data
Identify opportunities for informal or formal learning in data and analytics
Ensure business risks are identified, measured, monitored, and controlled under 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 may be substituted in lieu of degree, for a total of 10 years of experience without a bachelor's degree
6 years of data & analytics experience, OR 4 years of data & analytics experience plus up to 2 years of progressive functional business-relevant experience, OR an advanced quantitative analytics degree plus 4 years of data/analytics or relevant functional business experience
Advanced skills in mathematical and statistical techniques and approaches
Advanced knowledge of data analysis tools, data visualization, SQL, SAS, BI tools or other analysis software, and relevant industry data and methods
Experience with new and emerging datasets, including data wrangling and data munging
No visa sponsorship; applicants must not require immigration support now or in the future
5 or more years of experience leveraging SQL, Python, and statistical methods to integrate and analyze disparate data sources (what sets you apart)
Advanced data visualization, communication, and executive presentation skills (what sets you apart)
Experience with advanced analytics and data science techniques, including statistics, machine learning, optimization, or simulation (what sets you apart)
Expertise in call center, sales funnel, underwriting, and customer analytics, preferably within Life Insurance, Health Insurance, Annuities, or financial services products (what sets you apart)

Benefits

Comp & perks

Remote or hybrid flexibility may be available for active-duty military spouses, consistent with applicable policy and business needs
Pay incentives based on overall 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 assistance
Relocation assistance is not available