Job Description

Salary: $114,080 - 218,030 per year Requirements:

• Bachelors degree in a quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or other quantitative disciplines; OR 4 years of related experience in statistics, mathematics, or quantitative analytics may be substituted for the degree requirement.
• Minimum of 6 years of experience in data and analytics, or 4 years of data & analytics experience plus up to 2 years of relevant functional business experience within the respective industry (i.e. P&C, Banking, Finance, Marketing).
• Advanced skills in mathematical and statistical techniques, enabling fact-based decision-making.
• Proficient in various data analysis tools, data visualization, developing analysis queries, and procedures in SQL, SAS, BI tools, and relevant industry data/methods.
• Experience with new data sets and their integration into actionable insights.
• A passion for learning analytical techniques to explore data trends.
• Strong communication skills to simplify and articulate findings.

• Utilize advanced business, analytical, and technical expertise to engage in discussions with cross-functional teams to comprehend complex business objectives and influence solution strategies.
• Implement advanced analytical methodologies to tackle significant business challenges that affect current and future strategies.
• Employ innovative analytical techniques to derive conclusions and provide actionable recommendations that meet business goals.
• Translate recommendations into clear communication materials suitable for various management levels.
• Incorporate visualization methods to enhance the comprehension of analyses for non-technical audiences.
• Identify and compile relevant, high-quality data sources needed to thoroughly address the problem at hand through testing or exploratory data analysis.
• Transform and integrate diverse data sources while applying necessary data hygiene practices.
• Thoroughly document assumptions, methodologies, validation, and testing procedures for peer reviews and compliance.
• Stay informed about emerging technologies that could influence scientific methodologies and quantitative analysis applications.
• Clearly communicate findings to influence management decisions and business strategies effectively.
• Provide subject matter expertise to operationalize recommendations in practice.
• Continuously seek opportunities to expand knowledge in data and analytics through various learning platforms and formal courses.

• Marketing
• Phoenix
• SAS
• SQL
• Cloud
• IoT
• Support
• LESS
• Python
• Security

More:

At USAA, we are committed to empowering our members by providing competitive financial products, exceptional service, and trusted advice, aiming to be the top choice for military communities and their families. As a Senior Decision Science Analyst focused on Member Value, you will enhance member service experiences through analytics. We promote a flexible work environment, with a requirement to be in-office four days per week, in locations including San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA, or Tampa, FL. Our employees benefit from a comprehensive benefits package that includes medical, dental, vision plans, 401(k), pension, paid time off, and ongoing career development. We welcome applicants who are passionate about serving our military community.

last updated 51 week of 2025

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