Member Marketing Analytics Lead

USAA•Tampa, FL

2d•$143,320 - $273,930•Hybrid

About The Position

The Member Marketing Analytics Lead provides decision support for business areas across USAA. The role applies mathematical and statistical techniques and innovative quantitative analytical approaches to draw conclusions, make insight-to-action recommendations, answer business objectives, and drive change. This work involves gathering, manipulating, and synthesizing data—including attributes, transactions, and behaviors—along with models and other relevant information to develop conclusions and implementable strategies. The role leads complex analytical work and cross-functional discussions, identifies and integrates relevant data, applies advanced analytical techniques, and communicates findings to management and senior executives. It also supports operationalizing recommendations, advances data and analytics practices, and ensures business risks are identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. The position requires working in the office four days per week and may be based in San Antonio or Plano, Texas; Phoenix, Arizona; Colorado Springs, Colorado; Charlotte, North Carolina; or Tampa, Florida. Relocation assistance is not available.

Requirements

Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or another business or quantitative field; alternatively, four years of relevant education and/or experience.
Eight years of experience in a decision support analytic function, or an advanced degree in a relevant discipline and six years of experience in a decision support analytic function.
Expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
Expert knowledge of data analysis tools, data visualization, and developing analysis queries and procedures in SQL, SAS, BI tools, or other analysis software.
Knowledge of relevant industry data and methods, and ability to connect external insights to business problems.
Experience with new and emerging data sets and incorporating them into new insights through data wrangling or data munging.

Nice To Haves

Prior U.S. military service or being a military spouse/domestic partner is highly valued.
Experience using Adobe Analytics and/or knowledge of digital experience data.
Experience analyzing media and digital channel performance to uncover trends, measure effectiveness, and inform marketing decisions.
Experience piloting AI-enabled analytics tools and evaluating their application to data analysis, insights generation, and marketing optimization.

Responsibilities

Lead discussions with cross-functional teams to understand complex business objectives and influence solution strategies.
Apply advanced analytical techniques to solve large-scale business problems with significant impact on current or future business strategy.
Organize and oversee the development of requirements and resources needed to meet established objectives.
Use innovative scientific and quantitative analytical approaches to draw conclusions, recommend actions, and drive appropriate change.
Translate recommendations into communication materials and use visualization techniques to make analysis understandable to technical and less technical audiences.
Identify and gather relevant, quality data sources through testing or exploratory data analysis.
Integrate and transform disparate data sources and determine appropriate data hygiene techniques.
Document assumptions, methodology, validation, and testing to support peer reviews and compliance requirements.
Monitor and adopt emerging technology that can affect scientific methodologies and quantitative approaches to problem-solving.
Present complex analyses and findings to influence senior executives, gain support for recommendations, drive business decisions, and influence business strategy.
Provide subject matter expertise in operationalizing recommendations.
Research and pursue industry-leading data and analytics practices to advance the Decision Science Analyst community's knowledge.
Identify opportunities for continued learning in data and analytics through informal or formal education.
Innovate to create new and emerging data sets and incorporate them through data wrangling and data munging to generate insights.
Ensure risks associated with business activities are identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.