Decision Science Analyst Senior

Member Demand Generation Marketing is fundamental to deepening member relationships with USAA. This role will significantly enhance our analytical expertise in Member Demand Generation Marketing, enabling data-driven optimizations that accelerate business performance across the entire member lifecycle. The ideal candidate will possess a strong understanding of member journeys and the effectiveness of various marketing channels in nurturing and retaining members.

As a dedicated Decision Science Analyst Senior, you will Provide decision support for business areas across the association. 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 drive 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, Tampa, FL, or Chesapeake, VA.

- Leverages 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.

- Applies advanced 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).

- Identifies 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 advanced coursework).

- Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

- 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.

- 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 relevant 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 discipline 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.).

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

- 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.

- Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

- Experience analyzing and optimizing Demand Generation tactics throughout the lifecycle of a Membership e.g., Segmentation, Propensity Modelling, Triggers, Behaviors, Demographics, Lifecycle, Risks, Churn, Retention, Cohort Analysis

- Experience analyzing and optimizing Marketing Channels to nurture Membership (e.g., Email, SMS, Direct Mail, Outbound Call), including remarketing/retargeting campaigns and next-best-action algorithms

- Experience optimizing performance both within a single business unit/product, and across multiple business units/products (e.g., up-sell/cross-sell)

- Expertise in designing and executing A/B tests to drive performance outcomes

- Experience leading analytical workstreams and collaborating cross-functionally to drive company-wide goals

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

Compensation range: The salary range for this position is: $114,080 - $218,030 .

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

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.