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Decision Science Analyst I

Why USAA?

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

As a dedicated Decision Science Analyst I, you will provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and motivate change. The essence of work performed by the Decision Science Analyst 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.

This position can work remotely in the continental U.S. with occasional business travel.

What you'll do:

  • Demonstrates 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 embraces 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.

What you have:

  • 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 field; 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 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 field 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.

What sets you apart:

  • US military experience through military service or a military spouse/domestic partner
  • 2+ years in Credit card fraud analytics area in financial industry
  • 2+ years of experience in coding fraud rules in one of the main rule management systems (Fiserv, SAS Rule Studio, VRM, RSA, Broadcom etc.)
  • Analytical experience in wallet provisioning, e-commerce, and other point of sale strategies

Compensation range: The salary range for this position is: $93,770 - $168,790.

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

 

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

 

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.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

 

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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Average salary estimate

$131280 / YEARLY (est.)
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$93770K
$168790K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Decision Science Analyst I, USAA

At USAA, being a Decision Science Analyst I is not just a job; it's a chance to empower our members' financial futures. Located in San Antonio Home Office I, you'll dive into providing actionable insights that truly shape our business strategies. Imagine applying your analytical skills to solve real-world problems, drawing from the vast amounts of data available. You'll collaborate with cross-functional teams to understand their objectives, using advanced mathematical and statistical techniques to turn data into compelling recommendations that drive change. Your analysis will not only inform strategies but also resonate with mid-to-upper-level management, influencing decision-making at the highest levels. With opportunities for remote work across the continental U.S., this role combines flexibility with impactful work. As you gather, manipulate, and synthesize diverse datasets, you will showcase your findings through captivating visualizations that make complex concepts understandable for all audiences. If you're excited about utilizing emerging technologies and sophisticated analytical approaches to elevate USAA's mission, then this is the perfect role for you. Come join a team where your recommendations have the power to motivate change and positively impact the military community and their families. Your journey as a Decision Science Analyst I at USAA awaits, where every data point tells a story and every recommendation can make a difference.

Frequently Asked Questions (FAQs) for Decision Science Analyst I Role at USAA
What are the responsibilities of a Decision Science Analyst I at USAA?

As a Decision Science Analyst I at USAA, you will be responsible for applying advanced analytical techniques to solve business challenges, collaborating with cross-functional teams, and translating complex data insights into actionable recommendations. Your role will involve data gathering, manipulation, and synthesis to inform business strategies effectively, all while utilizing visualization techniques to communicate findings.

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What qualifications do I need to become a Decision Science Analyst I at USAA?

To qualify for the Decision Science Analyst I position at USAA, you should have a Bachelor's degree in a quantitative field such as Economics, Finance, or Statistics. If you don't have a degree, 4 years of relevant experience is an acceptable substitute. Experience in data analytics within the financial industry is also essential, along with competency in statistical techniques and data analysis tools.

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What kind of projects will I work on as a Decision Science Analyst I at USAA?

In this role, you will tackle medium to large-scale business problems using innovative quantitative analytical approaches. You'll work on projects that directly influence USAA's business strategies by providing 'insight to action' recommendations based on thorough analysis of various data sources, including customer behavior and transaction attributes.

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Can I work remotely as a Decision Science Analyst I for USAA?

Yes, the Decision Science Analyst I role at USAA offers the flexibility to work remotely within the continental U.S. However, there may be occasional business travel required, ensuring that you can collaborate effectively with team members and stakeholders.

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What sets apart a Decision Science Analyst I candidate for USAA?

Candidates with military experience or insights into the military community are especially valued at USAA due to our mission. Moreover, having experience in fraud analytics within the financial industry and proficiency in coding fraud rules will further enhance your candidacy, making you a strong fit for this role.

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Common Interview Questions for Decision Science Analyst I
Can you explain a statistical method you commonly use in your analysis?

In answering this question, you should provide a clear example of a statistical method such as regression analysis. Explain how it helps derive insights from data and how you've applied it in real situations. Be sure to highlight its impact on decision-making in past projects.

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Describe a time you turned complex data into insights for a business decision.

Think of a specific project where your analysis led to meaningful business outcomes. Detail the steps you took to analyze the data, how you translated your findings into actionable insights, and the outcome that influenced the business strategy. Use metrics where possible for impact.

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How do you ensure the accuracy and quality of your data?

Discuss the various data hygiene techniques you employ, such as filtering, validation checks, and exploratory data analysis. Emphasize the importance of these steps in ensuring the credibility of your findings and recommendations.

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What tools do you use for data visualization, and why?

Mention specific tools you're familiar with, such as Tableau or Power BI. Explain why you prefer these tools, focusing on their capabilities to simplify complex data for various audiences and how they enhance communication of your analysis.

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How do you approach collaboration with cross-functional teams?

Describe your communication style and how you work to understand the goals of other teams. Emphasize your experience in facilitating discussions, ensuring alignment, and how this collaboration ultimately leads to better decision-making.

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What experience do you have with SQL and data analytics tools?

Talk about specific projects where you utilized SQL to extract, manipulate, and analyze data. Highlight your familiarity with various analysis software and how you've implemented these tools to drive insights.

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How do you stay updated with emerging technologies in data analytics?

Convey your dedication to ongoing learning by discussing resources you use, such as online courses, professional conferences, and industry publications. Share how this knowledge has previously benefited your analytical work and decision-making processes.

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Can you describe a challenge you faced in data analysis and how you overcame it?

Provide a specific example of a challenge, such as dealing with incomplete data. Detail your thought process, the solutions you implemented, and the final outcome, showcasing your problem-solving skills.

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What motivates you to work in the field of decision science?

Share your passion for data, analytics, and how they help drive positive business outcomes. Discuss any experiences that fuel your motivation and express your desire to make an impact, particularly in a mission-driven organization like USAA.

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How do you prioritize multiple projects with tight deadlines?

Discuss your time management strategies and tools you use to prioritize tasks effectively. Provide real-world examples where you've balanced multiple projects successfully, ensuring that deadlines are met without sacrificing quality.

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WHAT WE STAND FOR No matter how many years we’re in business or how many members we serve, our core mission and the values that inspired it never change. Our mission is to stand with our members and be there for them and their families by facili...

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Full-time, remote
DATE POSTED
April 17, 2025

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