Lead Decision Science Analyst - Scorecard Analytics

USAA • Chesapeake, VA

1d • Hybrid

About The Position

At USAA, the mission is to empower members to achieve financial security through competitive products, exceptional service, and trusted advice, aiming to be the #1 choice for the military community and their families. The Lead Decision Science Analyst plays a critical role within Claims Analytics, serving as the analytics lead for the Operational Performance portfolio. This portfolio is crucial for Claims Member Contact Scorecard performance across Service and Quality, directly influencing outcomes monitored at both Claims and Association levels. In this role, the Analyst Lead translates complex data into actionable, decision-ready insights to drive measurable improvements in claims operations. As a senior analytics partner, the role provides decision support across business areas, applying advanced analytical techniques to inform strategy, prioritize initiatives, and influence change. Operating at the intersection of data, business strategy, and execution, the Lead Decision Science Analyst ensures analytics enable proactive performance management, accountability, and sustained operational improvement. The position offers a flexible work environment requiring 4 days per week in the office and can be based in San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA, or Tampa, FL. Relocation assistance is not available.

Requirements

• 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 is required; OR 4 years of related statistics, mathematics or quantitative analytics or related experience (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.
• 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 emerging data sets, and incorporation (data wrangling, data munging) into new insights.

Nice To Haves

• P&C Claims knowledge
• Experience leading strategic analytics tied to performance scorecards and outcomes
• Experience owning KPI design, governance, and performance interpretation
• Experience diagnosing cross‑functional performance issues at an association level
• Experience delivering proactive, prescriptive insights that drive business action
• Experience influencing senior leaders and elevating team capability
• US military experience through military service or a military spouse/domestic partner

Responsibilities

• 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.g. 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.

Benefits

• 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 assists employees with their professional goals

What This Job Offers

• Job Type: Full-time
• Career Level: Senior