Summer Associate (Business Intelligence & Data Analytics)
Navy Federal Credit UnionAbout the role
The Loan Boarding & Data Integration team serves as the operational and technical bridge between mortgage origination and servicing, supporting the systems, processes, and data that enable new mortgage products to be successfully onboarded and supported throughout the member lifecycle.
The team operates at the intersection of business operations, technology, and business intelligence. Team members partner with business stakeholders, application engineers, product teams, and operational leaders to develop solutions that improve efficiency, enhance reporting capabilities, and provide visibility into key business outcomes. Through operational reporting, data integration, and data visualization solutions, the team helps Real Estate Lending business units make informed, data-driven decisions.
We are seeking a highly motivated and analytical Summer Associate to join our Loan Boarding & Data Integration team. This role is ideal for students interested in business intelligence, data visualization, operational reporting, and financial services. The Summer Associate will work with operational and reporting data to develop meaningful dashboards, visualizations, and performance metrics that support business decision-making and process improvement initiatives.
The Summer Associate Program is a 12-week internship program beginning in May 2027 and ending in August 2027. Students will work on impactful projects and meaningful work during their internship. To qualify for this position, applicants must be currently pursuing a degree from an accredited college or university and have an anticipated graduation date of December 2027 or later.
RESPONSIBILITIES
Potential Projects
- Operational Reporting & Data Visualization
Objective: Enhance the effectiveness and accessibility of reporting solutions that support Real Estate Lending operations.
Description: Develop dashboards and visualizations that provide insight into reporting utilization, information access pattern
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