Decision Science Analyst I Mid-Level - Life Company Data and Analytics - Digital Experience & Experimentation - USAA

OpenTalent; San Antonio (TX); Hybrid; USD 70,000 - 98,000; Full time

Benefits offered by this job

Flexible work environment

Job summary

USAA is seeking a Decision Science Analyst I (Mid-Level) to join the Life Company Data and Analytics team in San Antonio, TX. You will analyze customer journeys, digital funnels, and experimentation results to deliver actionable insights in collaboration with Product, Design, and Technology teams.

The role requires strong SQL and Python skills and experience with digital analytics platforms such as Adobe Analytics, Glassbox, and Optimizely to improve member engagement and business performance.

Qualifications

• Strong SQL and Python skills for data manipulation and modeling.
• Experience with digital analytics and optimization platforms.
• Ability to translate analytical insights into actionable business recommendations.

Responsibilities

• Leverages analytical knowledge to discuss objectives with cross-functional teams and influence solution strategies.
• Applies advanced analytical techniques to solve medium-to-large scale business problems and shape strategy.

Skills

SQL

Python

Adobe Analytics

Glassbox

Optimizely

Tools

Adobe Analytics

Glassbox

Optimizely

Job description

Job ID

R0119945

Date posted

08/17/2026

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

USAA is looking for an experienced Decision Science Analyst I (Mid-Level) to join the Life Company Data and Analytics team. The USAA Life Company is looking to build on its foundation of exceptional service to grow and serve more members. This role will play a critical part in that growth by providing actionable insights to our Digital teams through analysis of customer journeys, digital funnels, and experimentation results. The ideal candidate combines strong SQL and Python skills with hands-on experience using digital analytics and optimization platforms such as Adobe Analytics, Glassbox, and Optimizely to identify opportunities that improve member engagement, conversion, and overall business performance, while partnering closely with Product, Design, and Technology teams.

This role provides decision support for business areas across the association. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position will be based on the San Antonio, TX; Colorado Springs, CO; or Plano, TX. campus . Relocation assistance is not available for this position.

What you'll do:

• Leverages intermediate and some advanced 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.