Member Marketing Analytics Lead

USAA•San Antonio, NC

8h•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 and make insight-to-action recommendations that address business objectives and drive change. Work includes gathering, manipulating, and synthesizing data, models, and other relevant information to develop recommendations and implementable strategies. The position leads complex cross-functional discussions, applies advanced analytical techniques to large-scale business problems, and translates findings into clear communications and visualizations for all levels of management, including senior executives. The role also provides subject matter expertise in operationalizing recommendations, advances data and analytics practices, and ensures business risks are identified, measured, monitored, and controlled in accordance with risk and compliance policies. The work environment is flexible but requires working in the office four days per week. The position 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. USAA does not provide visa sponsorship for this role.

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; or 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, developing analysis queries and procedures in SQL, SAS, BI tools, or other analysis software, and relevant industry data and methods, with the 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, insight 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 current or future strategic impact.
Organize and oversee development of the requirements and resources needed to meet objectives.
Use innovative scientific and quantitative approaches to draw conclusions and recommend actions that address business objectives and drive change.
Translate recommendations into communication materials and visualizations that effectively present analysis to all levels of management, including 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 may affect scientific and quantitative analytical methods.
Communicate complex findings to influence senior executives, gain support for recommendations, drive 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 community's knowledge.
Identify opportunities for continued learning in data and analytics through informal and formal channels.
Innovate by creating and incorporating emerging datasets into new insights through data wrangling and data munging.
Ensure business risks are identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.