Summer Associate Internship (Collections, Reporting, and Analytics)

Overview

The Collections Reporting & Analytics team supports the Data and Analytics needs of our business partners for all lending products across Navy Federal. This unique team support a large array of diverse data sets and challenges to provide insights that can help support our membership in difficult times.

The Summer Associate will work with our vast data landscape to help analyze legacy reporting and identify optimization opportunities for current analytics as well identify gaps and create recommendations for new insights to take our analytics to the next level for the business. Areas of focus may include identifying performance indicators within business operations for our front-line counselors or identifying risks and larger economic impacts on our business unit as well as potential data transition projects as we move some of our analytics from on-prem data sources to our cloud warehouse.

The Summer Associate Program is a 12-week internship program beginning in May 2025 and ending in August 2025. 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 2025 or later.

Responsibilities

• Retrieve, analyze, and validate data and test accuracy of reported results.
• Analyze and summarize business operations, customer, and/or economic data in order to improve business intelligence, optimize operating effectiveness, and predict business outcomes.
• Collaborate with business operations partners and senior management to conduct needs assessment to support business unit objectives.
• Effectively communicate data outcomes to business stakeholders and leadership

Qualifications

• Currently pursuing a graduate degree in Information Systems, Business Analytics, Data Science, Analytics, or other related degree
• Experience with research, analysis and data validation.
• Experience with large and complex data sets.
• Experience with SQL
• Experience with data visualization (PowerBI, Tableau)
• Knowledge of cloud technologies (Databricks, Microsoft Azure)
• Excellent communication and presentation skills
• Experience working with ambiguous problems.

About Us