Summer Associate Internship (Consumer Lending Business Intelligence Analyst)

Navy Federal Credit Union
Vienna, Virginia, United StatesPosted Sep 9, 2026

About the role

The Consumer Lending Operational Analytics (CLOA) team provides analytics, business intelligence, and data governance support across Credit Card and Consumer Loan Operations. The team transforms complex operational data into trusted, actionable insights that help leaders understand performance, identify emerging trends, improve operational efficiency, and make informed decisions.

CLOA’s work spans operational decision support, Power BI dashboard development and modernization, self-service analytics, data governance and quality, process automation, and emerging AI-enabled analytics capabilities. The team partners closely with operational leaders and cross-functional teams to develop scalable solutions that move beyond one-time analysis toward standardized, reusable insights.

The Summer Associate will work alongside analysts and leaders on a meaningful analytics or modernization initiative, gaining hands-on experience translating a business problem into an analytical solution. The role may include exploring and analyzing data, identifying trends and opportunities, developing visualizations or dashboards, evaluating opportunities for automation or self-service, and presenting findings and recommendations to business partners and leadership.

Potential Summer Associate projects may include

  • Operational Analytics & Insights: Analyze operational performance data to

identify trends, drivers, opportunities, and emerging issues and translate findings into actionable recommendations for leaders.

  • Dashboard & Visualization Development: Help design or enhance Power BI

dashboards that provide leaders with intuitive, standardized views of key operational metrics and performance.

  • AI & Analytics Innovation: Explore opportunities to apply AI to operational

analytics, such as identifying trends, summarizing insights, improving work intake and routing, or helping users more easily interact with and understand data.

  • Self-Service Analytics: Identify re

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