Mid-Level Decision Science Analyst

USAA • Tampa, FL

5d • Hybrid

About The Position

As a dedicated Mid-Level Decision Science Analyst, you will join the Claims Actuary & Analytics community supporting Service, Quality, and Operational Performance initiatives across the Claims organization. In this role, you will partner closely with Claims business leaders to deliver actionable insights that drive operational excellence, efficiency, and improved member experience outcomes. This position focuses on translating complex data into clear, decision‑ready insights across a range of domains including scorecard analytics, digital and omnichannel performance, contact center, and quality. You will play a key role in supporting strategic commitments and enabling “insight‑to‑action” recommendations that influence enterprise outcomes. 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, Phoenix, AZ, Colorado Springs, CO, Plano, TX, 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.
• 4 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 with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance).
• Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
• Intermediate and some advanced 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

• Experience supporting P&C Claims analytics (Auto and/or Property)
• Strong analytical and problem‑solving skills with the ability to develop effective solutions
• Experience working with scorecard analytics for service/quality OR Experience analyzing digital, workforce or contact center data
• Proficiency in SQL and experience working with Snowflake or similar data platforms
• Strong communication and presentation skills, including the ability to translate complex analysis into clear, business‑friendly insights
• Demonstrated ability to influence business partners and support data‑driven decision making
• Experience working with large, complex data sets and identifying opportunities to improve analytical rigor and capabilities
• US military experience through military service or a military spouse/domestic partner

Responsibilities

• 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.
• Applies innovative and 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 mid-to-upper level management.
• Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
• Identifies and gathers 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).
• Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
• Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
• Understands and 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 mid to upper 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

• At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include 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, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

What This Job Offers

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