Senior Decision Science Analyst

• Provide decision support for business areas across USAA
• Apply mathematical, statistical, scientific, and quantitative analytical techniques to solve complex business problems
• Gather, manipulate, integrate, transform, and synthesize data, models, transactions, behaviors, and other relevant information
• Draw conclusions and make insight-to-action recommendations that drive business change and strategy
• Lead or participate in discussions with cross-functional teams to understand complex business objectives and influence solution strategies
• Translate recommendations into communication materials for management
• Use data visualization to clarify analysis for less technical audiences
• Identify and gather relevant, high-quality data sources through testing or exploratory data analysis
• Apply data hygiene techniques to disparate data sources
• Document assumptions, methodology, validation, and testing for peer review and compliance
• Adopt emerging technologies affecting scientific and quantitative methodologies
• Deliver findings to influence management, business decisions, and strategy
• Provide subject matter expertise in operationalizing recommendations
• Stay informed on data and analytics trends including cloud, data mining, Python, neural networks, sensor data, IoT, and streaming/near-real-time data
• Pursue ongoing formal and informal learning in data and analytics
• Identify, measure, monitor, and control risks in accordance with policies and procedures

• 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
• 6 years of data and analytics experience; OR at least 4 years of data and analytics experience plus up to 2 years of progressive functional business-relevant experience for 6 years combined; OR an advanced quantitative analytics degree and 4 years of data/analytics or relevant functional business experience
• Advanced skills in mathematical and statistical techniques and approaches for fact-based decision-making
• Advanced knowledge of data analysis tools, data visualization, SQL, SAS, BI tools or other analysis software, and relevant industry data and methods
• Experience with new and emerging datasets, including data wrangling and data munging
• Experience with advanced analytics and data science solutions derived from member feedback and Voice of Customer (VoC) CX data
• Ability to synthesize member feedback with operational, behavioral, financial, and market data
• Ability to act as a subject matter expert for member feedback survey program data
• Excellent communication skills and ability to translate data and trends into digestible narratives
• US military experience gained through military service or as a military spouse/domestic partner is identified as a differentiator
• Must not require visa sponsorship or immigration support now or in the future

Demonstrates advanced skills in mathematical and statistical techniques for data analysis and decision-making, with a strong ability to synthesize complex data into actionable insights. Proficient in data visualization and communication, effectively translating analytical findings for diverse audiences.

• Data Analysis
• Statistical Techniques
• Data Visualization
• SQL
• Data Wrangling

• Mathematical Techniques
• Statistical Techniques
• Data Analysis
• Data Visualization
• Data Wrangling
• Data Munging
• Advanced Analytics
• Quantitative Analysis
• Business Analysis
• Operational Research

• Excellent Communication
• Collaboration
• Influencing Skills
• Problem-Solving

• Data Science
• Voice of Customer (VoC)
• Member Feedback
• Business Strategy
• Risk Management

• SQL
• SAS
• BI Tools
• Data Mining
• Cloud Technologies
• Neural Networks
• IoT
• Streaming Data
• Data Hygiene Techniques
• Exploratory Data Analysis