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USAA · 4 hours ago

Data & Analytics Intern (Future Leaders Program)

San Antonio Home Office I

Internship

Onsite

Intern

$24/hr - $35/hr

0+ years exp

Start in 2026 Spring

USAA is a financial services company dedicated to serving the military community and their families. The Data & Analytics Intern will support data and analytics business components that aid finance functions, gaining hands-on experience through various assignments in data governance, business intelligence, and data science.

BankingFinancial ServicesInsuranceVenture Capital

No H1B

Responsibilities

Captures business requirements by partnering with customers to define the business problem and data needs

Ensures that information management practices: Metadata management, Data Quality, Data Lineage, Data Profiling, etc. are coordinated into appropriate business and technology processes in support of the Information Governance policy

Uses basic knowledge of multiple data structures and sources to support the development and implementation of business intelligence solutions, which may include data visualization, business intelligence, data transformation, or data collection

Develops partnerships with IT execution teams on the development of analytic infrastructures, data engineering, or related business intelligence enablement efforts. Includes collaborating on the design and implementation of technical standards and governance practices

Supports the delivery of business insights using machine learning, simulation, and optimization

Acquires knowledge of data analysis techniques, technologies, and methodologies. Works closely with more senior data scientists to perform hands-on model life cycle related tasks

Partners with senior team members to develop and deploy models within the Model Development Life Cycle (MDLC) and Model Risk Management (MRM) framework

Qualification

Data AnalysisMachine LearningBusiness IntelligencePythonSQLData GovernanceCollaborationCommunicationProblem Solving

Required

Bachelor's degree or higher degree from an accredited college or university in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline

Graduation date cannot be prior to August 7, 2026

0 to 2 years of experience in Information or Data related practices to include: information governance, information management, information architecture, IT, analysis, and reporting

Foundational experience in one or more dynamic scripted language (Python, R, etc.) and database query language (such as SQL, HQL, NoSQL, etc.) for performing statistical analyses and/or building and scoring AI/ML models

Foundational knowledge of and experience with the concepts and technologies associated with classical supervised and unsupervised modeling

Knowledge and/or awareness of business intelligence and data management platforms (Tableau, Business Objects, Snowflake, Hadoop, Netezza)