Decision Science Analyst – Mid-Level

USAA

. Develop and execute data-driven audience strategies for marketing campaigns using SQL, Python, Salesforce, and Customer Data Platform tools .

Posted 9/22/2026full-timeUnited StatesMid-LevelSenior💰 $93,770 - $179,240 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data-driven audience strategies, utilizing SQL and Python for data analysis and manipulation. Proficient in translating business requirements into actionable insights while ensuring compliance and optimizing marketing campaign performance.

Highest-signal resume keywords

SQLPythonData AnalysisStatistical AnalyticsCustomer Data Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data-Driven Audience StrategiesStatistical AnalyticsPredictive AnalyticsPortfolio AnalyticsData IntegrationData TransformationData ValidationBusiness Requirements DocumentationAudience SegmentationPerformance Monitoring

Soft Skills

CommunicationProblem-SolvingMentoringCollaborationAttention to Detail

Tools & Technologies

SalesforceBI ToolsSASData Visualization ToolsAI-Enabled Solutions

Industry Keywords

Banking IndustryMarketing CampaignsOperational EffectivenessRegulatory ComplianceBusiness Performance

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop and execute data-driven audience strategies for marketing campaigns using SQL, Python, Salesforce, and Customer Data Platform tools
Translate business requirements into technical solutions
Build and validate target audiences
Write and document code and requirements
Identify emerging risks, performance gaps, customer behavior shifts, operational friction points, and growth opportunities
Apply statistical, predictive, profitability, portfolio, scientific, and quantitative analytics methodologies
Develop recommendations supporting business performance and profitable growth
Analyze ambiguous business challenges to identify root causes, trends, and performance drivers
Create business cases and recommendations balancing business needs, risk, operational impacts, and profitability
Prepare peer-review-ready communication materials using data visualization and storytelling
Document assumptions, methodologies, testing approaches, validation results, implementation requirements, and performance monitoring processes
Partner with business, risk, technology, operations, and control stakeholders to implement recommendations, define success metrics, monitor performance, and optimize outcomes
Use new analytical approaches, data assets, AI-enabled solutions, and decision science techniques
Support portfolio growth, operational effectiveness, and regulatory compliance
Identify, measure, monitor, and control risks according to policies and procedures

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
Minimum 4 years’ data & analytics experience or functional business relevant experience within the Banking industry OR advanced degree in a quantitative analytics field and 2 years of experience in data/analytics or functional business experience within the Banking industry
Intermediate and some advanced experience applying statistical, predictive, profitability, and portfolio analytics
Competency framing business problems, developing testable hypotheses, evaluating tradeoffs, and converting analysis into strategic recommendations
Experience integrating, transforming, validating, and analyzing internal and external data sources
Familiarity with data analysis tools, data visualization, SQL, SAS, BI tools or other analysis software, and relevant industry data and methods
Experience using SQL, Python, or similar coding languages to query, analyze, and manipulate large datasets
Experience developing, documenting, and maintaining business and technical requirements
Experience building and managing audience segments within Customer Data Platforms, Salesforce, Adobe, or similar marketing technology environments
Ability to partner with Marketing, Technology, Architecture, Governance, and Operations teams
Ability to communicate technical concepts to technical and non-technical audiences
Experience creating and maintaining process documentation, controls, and governance frameworks
Ability to train, mentor, and provide technical guidance
Experience supporting marketing campaign execution, including target audience identification, inclusion/exclusion criteria, validation, and alignment with business objectives
Strong understanding of end-to-end marketing processes
Ability to manage multiple priorities while maintaining accuracy and attention to detail
Must not require immigration support or visa sponsorship now or in the future

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
Various wellness programs
Career path planning
Continuing education assistance
Relocation assistance is not available for this position