USAA
USAA
USAA is a financial services company focused on serving current and former members of the U.S. military and their families. Its offerings span banking, insurance, and investment products, supported by secure digital tools and member-focused service. The company brings together teams working across financial technology, risk, operations, and customer experience to help its members manage their financial lives.

Decision Science Analyst I – Digital Experience Experimentation

Use SQL, Python, and experimentation analysis to improve USAA’s digital insurance experiences. Generate customer-journey insights and optimization recommendations that support member engagement and conversion.

Description

  • Analyze customer journeys, digital funnels, and experimentation results to provide actionable insights to Digital teams.
  • Apply mathematical, statistical, scientific, and quantitative methods to business objectives.
  • Collect, manipulate, synthesize, integrate, and transform data, models, and related information.
  • Engage in cross-functional discussions to clarify business objectives and shape solution strategies.
  • Address medium- to large-scale business problems that affect current or future business strategy.
  • Turn analytical insights into recommendations and practical implementation strategies.
  • Prepare communication materials and present findings to colleagues, peer reviewers, and mid-to-senior management.
  • Use data visualization to communicate analytical results clearly to less technical audiences.
  • Test and evaluate data sources using exploratory data analysis and other validation methods.
  • Apply suitable data-quality and hygiene practices across disparate data sources.
  • Record assumptions, methodology, validation procedures, and testing results for peer review and compliance.
  • Adopt emerging technologies that influence scientific and quantitative analytical methods.
  • Present findings that guide decisions, business strategy, and management support.
  • Identify, assess, monitor, and control risks in line with risk and compliance policies.

Requirements

  • Bachelor’s degree in economics, finance, statistics, mathematics, actuarial sciences, operations research, data or business analysis, data science, or another business or quantitative discipline; alternatively, four years of relevant education and/or experience beyond the required experience may substitute for the degree, for a total of eight years without a bachelor’s degree.
  • Four years of data, analytics, or relevant functional business experience in insurance, finance, or a related industry; alternatively, an advanced quantitative analytics degree with two years of experience.
  • Proficiency in mathematical and statistical methods used for evidence-based decision-making.
  • Intermediate to advanced knowledge of data analysis and visualization tools, SQL, SAS, business intelligence tools or comparable software, and relevant industry data and methods.
  • At least three years of experience using SQL and Python for analysis.
  • At least three years of experience with digital analytics and experimentation platforms such as Adobe Analytics, Glassbox, and Optimizely.
  • At least three years of experience analyzing digital funnels and customer journeys.
  • Experience supporting digital analytics and optimization initiatives in insurance, financial services, or comparable service industries is preferred.
  • Ability to collaborate effectively with product management, digital design, IT, and other cross-functional partners.
  • US military experience, including military service or experience as a military spouse or domestic partner, is a differentiator.
  • Must not require current or future immigration support; USAA does not provide visa sponsorship.

Benefits

  • Flexible work environment.
  • Performance-based pay incentives determined by overall corporate and individual performance at the discretion of the USAA Board of Directors.
  • Comprehensive medical, dental, and vision coverage.
  • 401(k) plan.
  • Pension plan.
  • Life insurance.
  • Parental benefits.
  • Adoption assistance.
  • Paid time off program.
  • Paid holidays.
  • 16 paid volunteer hours.
  • Wellness programs.
  • Career path planning.
  • Continuing education assistance.

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