Decision Science Analyst Senior – Life Company Data and Analytics - Paid Media Performance Analyst – Social & Search

About the role

USAA's mission is to empower members to achieve financial security through highly competitive products, exceptional service and trusted advice. The company seeks to be the #1 choice for the military community and their families, guided by core values of honesty, integrity, loyalty and service. USAA proudly supports active‑duty military spouses and may offer remote or hybrid flexibility consistent with policy and business needs.

Responsibilities

• Leverage advanced business, analytical and technical knowledge to participate or lead discussions with cross‑functional teams to understand and collaborate on highly complex business objectives and influence solution strategies.
• Apply advanced analytical techniques to solve medium‑ to large‑scale business problems with significant impact on current and/or future business strategy.
• Apply innovative and scientific/quantitative analytical approaches to draw conclusions and make ‘insight to action’ recommendations to answer business objectives and drive appropriate change.
• Translate recommendations into communication materials for various levels of management.
• Incorporate visualization techniques to support analysis points and aid understanding for less technical audiences.
• Identify and gather relevant, quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
• Integrate/transform disparate data sources and determine appropriate data hygiene techniques.
• Thoroughly document assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
• Understand and adopt emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
• Succinctly deliver analysis/findings that convey understanding, influence management, garner support for recommendations, drive business decisions, and influence business strategy.
• Provide subject matter expertise in operationalizing recommendations.
• Remain informed on current data and analytics trends (e.g., Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data).
• Identify opportunities to continue learning in the data and analytics space, whether informal (Coursera, Udemy, Kaggle, Code Up, etc.) or formal (certifications or advanced coursework).
• Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

Qualifications

Education/Experience: Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field OR 4 years of relevant education and/or experience (in addition to the minimum years of experience required) may be substituted in lieu of degree (total of 10 years of experience without bachelor’s degree).

Experience: 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 (Life Insurance, 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., Life Insurance, Marketing, etc.).

Technical skills: