Decision Science Analyst - Mid Level

Experteer Overview In this role you translate data into actionable insights that inform member-focused decisions. You'll work with the Member Data Product Team within the Enterprise Data Office to deliver data capabilities across internal teams. You'll apply advanced analytics to medium-to-large scale problems and present findings to management. You will blend data engineering with visualization to empower evidence-based strategies that support USAA's mission.

Compensation / Benefits

• Participate in cross-functional discussions to align analytics with business objectives and influence solution strategies
• Apply advanced analytical techniques to solve medium-to-large scale business problems with strategic impact
• Develop and communicate insight-to-action recommendations to peers and management
• Create visualizations to clearly convey analysis findings to non-technical audiences
• Identify and gather relevant data sources; perform exploratory data analysis and data quality checks
• Integrate disparate data sources and apply data hygiene techniques
• Document assumptions, methodology, validation, and testing for peer reviews and compliance
• Stay updated on emerging technologies that affect analytical methodologies and solutions
• Deliver analyses in a way that supports decision-making and business strategy while managing risks and compliance Tasks
• Bachelor's degree in quantitative analytics or related field, or 4 years of related experience in statistics/mathematics/quantitative analytics
• 4 years of data/analytics or relevant industry experience (P&C, banking, finance) or advanced degree with 2 years in data/analytics
• Strong mathematical and statistical techniques for fact-based decision making
• Intermediate to advanced knowledge of data analysis tools, data visualization, and

SQL, SAS, BI

tools

• Ability to connect external insights to business problems and present to stakeholders Key requirements
• medical, dental and vision plans
• 401(k) and pension
• life insurance
• parenteral benefits and adoption assistance
• paid time off and paid holidays
• volunteer hours and wellness programs