Intermediate Level Decision Science Analyst - Digital Analytics

About USAA

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We strive to be the #1 choice for the military community and their families. Our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. We proudly support active‑duty military spouses, and USAA roles may offer remote or hybrid flexibility for them consistent with applicable policy and business needs.

About the Role

As a dedicated Intermediate Level Decision Science Analyst – Digital Analytics, you will join our Member Value team and be instrumental in transforming member service experiences through in‑depth, end‑to‑end analytics. You will uncover critical insights to drive higher member satisfaction and value, refine service strategies, and optimize performance. This position offers a flexible work environment that requires an individual to be in the office four days per week. It can be based in San Antonio, TX; Plano, TX; Phoenix, AZ; Colorado Springs, CO; Charlotte, NC; or Tampa, FL. Relocation assistance is not available.

Responsibilities

• Leverages intermediate business, analytical and technical knowledge to participate in discussions with cross‑functional teams to understand and collaborate on business objectives and influence solution strategies.
• Applies advanced analytical techniques to solve medium‑to‑large scale business problems with impact to current and/or future business strategy.
• Uses scientific/quantitative analytical approaches to draw conclusions and make “insight to action” recommendations that drive appropriate change.
• Translates recommendations into communication materials for peer review and senior/lead analysts.
• Incorporates visualization techniques to support analysis points and aid understanding for less technical audiences.
• Supports identifying and gathering relevant, high‑quality data sources required to fully address the problem through testing or exploratory data analysis (EDA).
• Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
• Adopts emerging technology that can affect the application of scientific methodologies and quantitative analytical approaches.
• Delivers analysis/findings in a manner that influences mid‑level management, garners support for recommendations, drives business decisions, and shapes business strategy.
• Ensures risks associated with business activities are identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

Requirements

• Bachelor’s degree in a quantitative analytics field (e.g., Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data Science, Business Analysis) or four years of related experience in statistics, mathematics, or quantitative analytics in lieu of a degree.
• At least two years of experience in data/analytics or functional business experience within the relevant industry (e.g., P&C, Banking, Finance) or an advanced degree in a quantitative analytics discipline.
• Demonstrated intermediate knowledge of mathematical and statistical techniques used for fact‑based decision‑making.
• Intermediate proficiency with data analysis tools, data visualization, and developing analysis queries and procedures in SQL, SAS, BI tools, or comparable software, as well as familiarity with relevant industry data and methods.

Skills

• Experience using digital analytics platforms such as Google Analytics, Adobe Analytics, or similar tools to generate actionable insights.
• Hands‑on experience with digital experimentation and optimization tools such as Optimizely, Adobe Target, or comparable platforms.
• Working knowledge of customer data platforms (CDPs), CRM analytics, and AI/ML applications in analytics.
• Experience with tag management and digital tracking implementation using Tealium, Adobe, Google Tag Manager, or similar solutions.
• Strong understanding of customer journey analytics and user behavior across web, mobile, and marketing channels.
• Excellent communication and presentation skills, with the ability to translate complex data into clear business recommendations.