Intermediate Level Decision Science Analyst - Member Value

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

As a dedicated Intermediate Level Decision Science Analyst - Member Value, you will join our Member Value and will 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. You will collaborate with business leaders, apply advanced analytical techniques, and translate complex data into clear, actionable recommendations that drive significant change. This is a unique opportunity to apply your analytical expertise and shape the future of member experience with data-driven insights.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position.

What you'll do:

• 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 business problems that are typically medium to large scale with impact to current and/or future business strategy.

• Applies scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.

• Translates recommendation into communication materials to effectively present to colleagues for peer review and senior/lead analysts.

• Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.

• Supports identifying and gathering the relevant and quality data sources required to fully answer and address the problem for the recommended strategy 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/or quantitative analytical approaches to problem resolutions.

• Delivers analysis/findings in a manner that conveys understanding, influences up to mid level management, garners support for recommendations, drives business decisions, and influences business strategy.

• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

• Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.

• 2 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance) OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline.

• Demonstrates intermediate knowledge of mathematical and statistical techniques and approaches used to drive fact-based decision-making.

• Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.

What sets you apart:

• Data Analysis and Synthesis: