Member Marketing Analytics Lead

USAA Life Insurance Company; San Antonio (TX); Hybrid; USD 120,000 - 190,000; Full time

Job summary

USAA Life Insurance Company seeks a Senior Member Marketing Analytics Lead to provide decision support across business areas. The role involves applying mathematical and quantitative techniques to derive actionable insights and influence strategies.

You will work with cross-functional teams, translating complex analyses into concise communications for executives. The position requires in-office presence 4 days per week across specified US locations.

Qualifications

• Demonstrates expert skills in mathematical and statistical techniques 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 ability to connect external insights to business problems.
• Experience with emerging data science practices and technologies is a plus.

Responsibilities

• Leads discussions with cross functional teams to understand complex objectives and influence solution strategies.
• Applies advanced analytical techniques to solve large-scale business problems with material impact.
• Organizes and oversees requirements/resources to meet objectives.
• Translates analyses into actionable recommendations for senior leadership.
• Incorporates visualization to support key findings for non-technical audiences.
• Identifies and gathers relevant data sources and performs testing/EDA to address problems.

Skills

Math & stats

Data analysis tools

Data visualization

Education

Bachelor's degree in quantitative field; OR 4 years relevant education/experience

Advanced degree + 6 years experience in decision support analytics

Tools

SQL

SAS

BI tools

Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active‑duty military spouses. USAA roles may offer remote or hybrid flexibility for active‑duty military spouses consistent with applicable policy and business needs.

The Opportunity

Our Member Marketing Analytics Lead provides 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, Colorado Springs, CO, Charlotte, NC, or Tampa, FL.

Relocation assistance is not available for this position.

What you’ll do:

• Leverages expert business, analytical and technical knowledge to 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 large scale with significant impact to current and/or future business strategy.
• Organizes and oversees the development of requirements/resources necessary to meet established objectives.
• Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change.
• Translates recommendation into communication materials to effectively present to all 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.
• Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
• Succinctly delivers complex analysis/findings in a manner that conveys understanding, influences senior executives, garners support for recommendations, drives business decisions, and influences business strategy.
• Provides subject matter expertise in operationalizing recommendations.
• Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.
• 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.Certifications or advanced coursework).
• Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
• Experience with new and emergi

What you have:

• 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.
• 8 years of experience in a decision support analytic function OR Advanced degree in relevant discipline, 6 years of experience in a decision support analytic function.
• Demonstrates 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 & methods and ability to connect external insights to business problems.
• Experience with new and emergi