Decision Science Analyst I – Digital Experience, Experimentation Analyst

USAA

. Provide actionable insights to Digital teams through analysis of customer journeys, digital funnels, and experimentation results .

Posted 10/7/2026full-timeUnited StatesMid-LevelSenior💰 $93,770 - $179,240 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in data analysis, statistical techniques, and digital analytics to provide actionable insights that influence business strategy. Proficient in SQL and Python, with experience in visualization tools and cross-functional collaboration.

Highest-signal resume keywords

Data AnalysisSQLPythonDigital AnalyticsStatistical Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical TechniquesData VisualizationSQLPythonDigital AnalyticsExperimentation PlatformsCustomer Journey AnalysisData Hygiene TechniquesRisk Management

Soft Skills

Cross-Functional CollaborationCommunication SkillsProblem SolvingInfluencing Skills

Tools & Technologies

Adobe AnalyticsGlassboxOptimizelyBI ToolsData Analysis Software

Industry Keywords

InsuranceFinanceQuantitative AnalyticsBusiness AnalysisDigital Funnels

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Provide actionable insights to Digital teams through analysis of customer journeys, digital funnels, and experimentation results
Apply mathematical, statistical, scientific, and quantitative analytical approaches to business objectives
Gather, manipulate, synthesize, integrate, and transform data, models, and relevant information
Participate in cross-functional discussions to understand business objectives and influence solution strategies
Solve medium- to large-scale business problems affecting current or future business strategy
Make insight-to-action recommendations and translate them into implementable strategies
Create communication materials and present findings to colleagues, peer reviewers, and mid-to-upper-level management
Use visualization techniques to make analysis understandable for less technical audiences
Identify and validate relevant data sources through testing or exploratory data analysis
Apply appropriate data hygiene techniques to disparate data sources
Document assumptions, methodology, validation, and testing for peer review and compliance
Adopt emerging technology affecting scientific and quantitative methodologies
Deliver findings to influence decisions, business strategy, and management support
Identify, measure, monitor, and control risks in accordance with 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 in addition to the minimum years of experience required may be substituted in lieu of degree; total of 8 years of experience without bachelor's degree
4 years of experience in data/analytics or functional business experience within insurance, finance, or the respective industry, OR an advanced degree in a quantitative analytics field with 2 years of experience
Competency in mathematical and statistical techniques and approaches used for fact-based decision-making
Intermediate and some advanced knowledge of data analysis tools, data visualization, SQL, SAS, BI tools or other analysis software, and relevant industry data and methods
3 or more years of experience with SQL and Python for analysis
3 or more years of experience with digital analytics and experimentation platforms, including Adobe Analytics, Glassbox, and Optimizely
3 or more years of experience analyzing digital funnels and customer journeys
Experience supporting digital analytics and optimization initiatives within insurance, financial services, or comparable service industries preferred
Ability to partner effectively with cross-functional teams including product management, digital design, and IT
US military experience through military service or a military spouse/domestic partner listed as a differentiator
Must not require current or future immigration support; USAA does not provide visa sponsorship

Benefits

Comp & perks

Flexible work environment
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