At USAA, our mission is more than just words – it’s the reason we do what we do. Our goal is to be the military community’s provider of choice for insurance, banking, financial products and advice.

Take a look back at our history and you’ll see a strong track record of providing members with the highest level of care and support. And we’re proud to continue helping them achieve better financial futures.

It’s that kind of dedication that’s helped us grow to more than 35,000 employees. Share our passion for serving those who serve? Whether you’re connected to the military or not, we’re always looking for talented individuals to join our team.

We are seeking a dedicated Data Analyst for one of our following office locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Tampa, FL, Colorado Springs, CO, Charlotte, NC or work remotely in the continental U.S. with occasional business travel.

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 inspire 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.

The Opportunity

• Identifies and leads existing and emerging risks that stem from business activities and the job role.
• Ensures risks associated with business activities are effectively identified, measured, supervised, and controlled.
• Follows written risk and compliance policies, standards, and procedures for business activities.
• Uses intermediate 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 sophisticated analytical techniques to tackle business problems that are typically medium to large scale with impact to current and/or future business strategy.
• Applies 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 optimally present to colleagues for peer review and senior/lead analysts.
• Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
• Supports identifying and capturing 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).
• Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
• 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 up to mid-level management, garners support for recommendations, drives business decisions, and influences business strategy.

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 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.
• 2 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.
• Demonstrates intermediate knowledge of mathematical and statistical techniques and approaches used to drive fact-based decision-making.
• Intermediate 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

• 3 plus years working with various software platforms (i.e. SQL, SAS, Snowflake, Dremio, Tableau).
• Tactical marketing analytics and consumer-oriented marketing analysis.
• Experience working in the banking/ financial industry.
• US military experience through military service or a military spouse/domestic partner.

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.