Intermediate Decision Science Analyst - DAMT

USAA • Chesapeake, VA

1d • Hybrid

About The Position

About the Team Data wins. At USAA, we're building a high-performance Data, Analytics, Monitoring & Tools (DAMT) program embedded within our P&C Underwriting and Product Development organization — and we need the talent to make it happen. The DAMT team is modernizing how we deploy models, enable pricing decisions, and re-architect the data and tooling ecosystem that powers our Pricing & Underwriting factory. This is not a back-office function, and it is not a finished one. We are in build mode — the problems are real, the path isn't always clear, and the teammates around you matter as much as the tools in your hands. If ambiguity energizes you, collaboration is your default, and you do your best work when the answer isn't obvious, this is your team. Role Summary Provides decision support through quantitative analysis, data synthesis, and problem solving. Supports near-term DAMT execution while building the skills to design and operationalize a scalable data-to-model-to-pricing implementation system. The essence of work 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 can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL. Relocation assistance is not available for this position.

Requirements

• 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.

Nice To Haves

• US military experience through military service or a military spouse/domestic partner
• Comfortable tackling problems without a defined playbook — brings curiosity and structure to ambiguous challenges.
• Collaborative by nature with experience contributing analytical work within cross-functional teams.
• Exposure to agile ways of working or eagerness to operate in a sprint-based embedded IT environment.
• Experience using Python and Snowflake (or other databases) to manipulate data, automate analyses, and support repeatable analytical workflows.
• Exposure to predictive model deployment or workflows connecting data, models, and pricing decisions.
• Experience using GenAI tools or workflows to accelerate analytical delivery, improve output quality, and translate technical work into decision-ready insights.

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 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.

Benefits

• Employees may be eligible for pay incentives based on overall corporate and individual performance and 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 with paid holidays plus 16 paid volunteer hours
• various wellness programs
• career path planning and continuing education

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level