🔹 Job Title: Decision Science Analyst Senior – Agency Marketing Data and Analytics
🔹 Company: USAA
🔹 Location: San Antonio Home Office I, San Antonio, Texas
🔹 Job Type: Full-Time
🔹 Category: Data & Analytics
🔹 Date Posted: May 29, 2025
🔹 Experience Level: Mid-Senior level (6+ years)
🔹 Remote Status: Remote OK (occasional business travel)
Key aspects of this role include:
ASSUMPTION: This role requires a strong background in data analysis and quantitative methods, as well as the ability to communicate complex findings to various levels of management.
✅ Leverage 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.
✅ Apply advanced analytical techniques to tackle business problems that are typically medium to large scale with significant impact to current and/or future business strategy.
✅ Apply 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.
✅ Translate recommendations into communication materials to optimally present to various levels of management.
✅ Incorporate visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
✅ Identify and capture 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).
✅ Integrate/transform disparate data sources and determine the appropriate data hygiene techniques to apply.
✅ Thoroughly document assumptions, methodology, validation, and testing to facilitate peer reviews and compliance requirements.
✅ Understand and embrace emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
✅ Succinctly deliver analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.
✅ Provide subject matter expertise in operationalizing recommendations.
✅ Remain informed on current data and analytics trends, and identify opportunities to continue learning in the data and analytics space.
✅ Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
ASSUMPTION: This role requires strong problem-solving skills, attention to detail, and the ability to work independently or in a team environment.
Education: Bachelor's 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 discipline.
Experience: 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 proven experience within the respective industry of responsibility (i.e., P&C, Bank, Finance, Marketing, etc.) for a total of 6 years combined experience OR an advanced degree in a quantitative analytics field 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.).
Required Skills:
Preferred Skills:
ASSUMPTION: While not explicitly stated, proficiency in Python and R would be beneficial for this role, as they are commonly used in data analysis and scientific computing.
Salary Range: $114,080 - $205,340 USD per year
Benefits:
Working Hours: Full-time, with occasional business travel
ASSUMPTION: The salary range provided is based on the information given in the job listing. However, it is essential to verify the actual salary range with the employer, as it may vary based on the candidate's experience and market data.
Industry: Financial Services, focusing on serving the military community and their families
Company Size: 10,001+ employees, providing ample opportunities for career growth and collaboration
Founded: 1922, with a rich history of serving the military community
Company Description:
Company Specialties:
Company Website: www.usaajobs.com
ASSUMPTION: USAA's focus on serving the military community sets it apart from other financial services companies, and this focus is likely to be a significant aspect of the company culture and work environment.
Career Level: Mid-Senior level, with opportunities for growth and advancement within the data and analytics field
Reporting Structure: This role reports to the Director of Decision Science and Analytics within the respective business area
Work Arrangement: Remote OK, with occasional business travel required
Growth Opportunities:
ASSUMPTION: Given USAA's size and focus on serving the military community, there are likely to be numerous opportunities for career growth and development within the company.
Office Type: Hybrid, with the option to work remotely
Office Location(s): San Antonio Home Office I, San Antonio, Texas
Geographic Context:
Work Schedule: Full-time, with occasional business travel required
ASSUMPTION: While the role is remote OK, there may be occasions when on-site presence is required for meetings, training, or other company events.
Typical Process:
Key Assessment Areas:
Application Tips:
ATS Keywords: Data Analysis, Statistical Techniques, Data Visualization, SQL, SAS, Business Analysis, Data Wrangling, Experimental Design, Marketing Data, Cross-Functional Collaboration, Data Cleaning, Emerging Technologies, Decision Support, Quantitative Analysis, Communication Skills, Problem Solving
ASSUMPTION: Given the competitive nature of the job market, it is essential to tailor your application materials to highlight your relevant skills and experiences and to demonstrate your fit with USAA's mission and values.
ASSUMPTION: While not explicitly stated, proficiency in Python and R would be beneficial for this role, as they are commonly used in data analysis and scientific computing.
Company Values:
Work Style:
Self-Assessment Questions:
ASSUMPTION: Given USAA's focus on serving the military community, candidates with military experience or a strong connection to the military community may have an advantage in the hiring process.
ASSUMPTION: These challenges are inherent to the role and can be managed effectively with strong problem-solving skills, attention to detail, and effective communication with stakeholders.
ASSUMPTION: While this role shares similarities with other data and analytics positions, its focus on marketing data and agency operations sets it apart and requires a unique skill set and industry-specific knowledge.
ASSUMPTION: These sample projects are intended to illustrate the types of tasks and responsibilities associated with this role. The specific projects and initiatives may vary based on the organization's needs and priorities.
ASSUMPTION: Asking thoughtful and insightful questions demonstrates your interest in the role and your commitment to understanding the organization's needs and priorities.
To apply for this position:
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.