Decision Science Analyst Senior - Bank Money Management Data Products

Why USAA?

Let's do something that really matters.

At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families. Not all our employees served in our nation's military, but we all share in the mission to give back to those who did. We're working as one to build a great experience and make a real impact for our members.

We believe in our core values of honesty, integrity, loyalty, and service. They're what guides everything we do – from how we treat our members to how we treat each other. Come be a part of what makes us so special!

As a dedicated Decision Science Analyst Senior, 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 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.

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, or Charlotte, NC.

Relocation assistance is not available for this position.

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

The Opportunity

We have embarked on a transformational journey to improve money management and financial advice data and analytics products for our members to enable their financial goals, financial journey, and overall financial wellness. This role requires understanding and experience of data and analytics within the Money Management business domain including Bank internal and 3rd Party account aggregation, income flow, spend behavior, transaction enrichment, acquisition opportunities, and personalized financial insights. You will join a team of dedicated Data Products, Decision Science, and Data Science Analysts to deliver these data solutions and capabilities, enabling Money Management consumption use cases as business intelligence, deep analytics & insights, sophisticated analytics, and Generative AI via our strategic Data Cloud ecosystem and technologies. Aligned to Money Management value streams, data products lifecycle, and information delivery processes, responsibilities for this role will include comprehensive data analysis, data product and metadata requirements, data modeling, B2B vendor data integration, performance monitoring, data visualization, and continuous improvement of these products and processes. Collaboration and communication with cross-organizational, cross-functional teams is crucial for planning, tracking, and developing innovative data products and solutions that will demonstrate broad set of foundational and derived omnichannel data and metrics. Additionally, this role will provide strategic mentorship to management, ensures data governance and compliance, manages partners, provide oversight over vendor services and SLOs, demonstrates strong business insight, has excellent communication skills, and stays updated with industry trends and standard methodologies.

What you'll do:

Leverages sophisticated business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly sophisticated business objectives and influence solution strategies.

Applies sophisticated 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)

Seeks 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 sophisticated coursework).

Ensures risks associated with business activities are effectively identified, measured, supervised, 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 subject area; 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 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 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 and 4 years of proven experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).

Demonstrates sophisticated skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.

Sophisticated 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.

What sets you apart:

US military experience through military service or a military spouse/domestic partner

Professional experience in Money Management data domain(s) including Bank internal and 3rd Party account aggregation, income flow, spend behavior, transaction enrichment, acquisition opportunities, and personalized financial insights.

Experience in the strategic Data Cloud Snowflake ecosystem including: comprehensive data analysis, data product and metadata requirements, change data capture (CDC), B2B data integration, data modeling, performance monitoring, data visualization, and continuous improvement.

Experience developing and / or applying data discovery and analysis frameworks and tools such as SQL and Python to conduct data profiling, in-depth data analysis, and generates actionable insights to address challenges and gaps in data and metadata.

Professional experience applying statistical techniques to identify trends, patterns, and correlations within the Omnichannel data.

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.

What we offer:

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. The salary range for this position is: $109,130 - $196,430.

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

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, please 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.

USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.
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