Senior Decision Science Analyst - Property Claims/ Workforce Analytics

USAA • Tampa, FL

1d • Hybrid

About The Position

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. The Opportunity The Senior Decision Science Analyst provides advanced decision science support by leading complex analytics projects, mentoring junior analysts, and driving thought leadership that elevates analytic maturity across the team. Experience in the property claims domain and/or workforce analytics is highly preferred. The ideal candidate brings a strong technical foundation in statistical methods and predictive modeling, particularly regression and other machine learning techniques, to uncover relationships within multi‑source data and assess their impact on key operational metrics. This role requires exceptional analytical thinking, a proactive approach, and a genuine enthusiasm for tackling complex challenges, along with the ability to translate sophisticated findings into clear, compelling narratives for executive audiences. The Senior Decision Science Analyst partners closely with business leaders to shape strategies that improve workforce performance and operational efficiency, while demonstrating leadership qualities on their team through project ownership, mentorship, and a natural inclination to ask deep, insightful questions that advance understanding and decision‑making. 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.

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.
• 6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience 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 and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).
• Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
• 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.
• Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

Nice To Haves

• Prior U.S. military service or experience as a military spouse/domestic partner.
• Experience supporting Workforce Analytics or Workforce Management initiatives, particularly within Property Claims or Contact Center environments.
• Demonstrated ability to lead complex analytics projects and guide junior analysts through methodology, data manipulation, and insight development.
• Proven skill in synthesizing analytical findings into clear, executive‑ready narratives tailored for senior and EMG‑level stakeholders.
• Experience mentoring or developing analysts, including providing feedback on analytic approach, data storytelling, and stakeholder communication.
• Ability to influence business partners and drive adoption of analytic recommendations within operational settings.
• Experience working with large, complex, or disparate datasets, including identifying opportunities to enhance analytic processes, data quality, and methodological rigor.
• Proficient in statistical modeling to derive actionable insights for decision-making.

Responsibilities

• Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.
• Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant 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 various levels of 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.
• Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.
• Provides subject matter expertise in operationalizing recommendations.
• Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)
• Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (E.g. Certifications or advanced coursework).
• 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