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USAA

Director, Decision Science Analytics – Finance Analytics

USAA

. As a strategic partner, leads or collaborates with other analytical leaders in executing the strategic direction of the business using mathematical and statistical techniques and/or innovative/quantitative analytical approaches .

Posted 5/9/2026full-timeSan Antonio • Arizona, North Carolina, Texas • 🇺🇸 United StatesLead💰 $164,780 - $314,960 per yearWebsite

Tech Stack

Tools & technologies
CloudIoTPythonSQL

About the role

Key responsibilities & impact
  • As a strategic partner, leads or collaborates with other analytical leaders in executing the strategic direction of the business using mathematical and statistical techniques and/or innovative/quantitative analytical approaches
  • Develops team reputation as highly skilled experts in the area of decision science support
  • Oversees and coordinates analytical tasks which include the evaluation of the business problem, analytical methodology, validation, documentation and presentation of findings and recommendations
  • Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions
  • Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts and provides business rationale and justification for additional needs
  • Understands the business direction, environment and strategies, to set the analytic direction and creates strategy to execute the approach that will influence business and drive change
  • Leads the effort and/or partners with analytics teams to build USAA core analytics capabilities and processes
  • Builds and oversees a team of employees for assigned functional area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities
  • Assigns and or Serves as a mentor for mathematical skills and statistical techniques and guides teams to use the appropriate approaches, to drive fact-based decision-making
  • Maintains and innovates 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
  • 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.g.Certifications or advanced coursework)
  • Works with IT/CTO partners to advance new data and platforms that correspond to evolving skill sets
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

Requirements

What you’ll need
  • 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
  • 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
  • 3 years of direct team lead or management experience
  • Demonstrates expert skills in mathematical and statistical techniques and approaches used to influence Business Strategy with fact-based decision-making to all levels of leadership up to senior executive levels
  • Modernizes 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.

Benefits

Comp & perks
  • 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
  • various wellness programs
  • career path planning and continuing education

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
mathematical techniquesstatistical techniquesdata analysisdata visualizationSQLSASdata miningPythonNeural Networksdata wrangling
Soft Skills
leadershipmentoringcoachingperformance managementcollaborationstrategic thinkingcommunicationproblem-solvingdecision-makingteam development