Join the Digital Analytics Department for a summer internship focused on turning digital and financial data into actionable insights for mobile app and online banking experiences.
Our Digital Analytics Department delivers actionable insights to support our mobile app and online banking operations. We conduct analysis that helps business and app development teams enhance the user experience and optimize performance.
We are seeking a motivated and talented summer intern to join our growing team. In this role, you will work with senior team members, department leaders, and business units to support research and development using digital and financial data. You will explore and summarize data, generate insights into customer digital behavior, analyze mobile app and website usage trends, and examine customer sentiment.
This is a full-time summer internship designed to provide hands-on experience in business intelligence, digital analytics, and data storytelling.
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.
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
Our approach to careers is simple yet powerful: Make our mission your passion.
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Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal''s Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.
Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
Additional Information
Hours:
Location:
820 Follin Lane, Vienna, VA 22180
Perform research and exploratory analysis on competitive intelligence and emerging trends in mobile banking using quantitative and/or qualitative methods.
Explore datasets using available technologies and tools.
Write SQL or Python code to summarize and analyze data.
Group data, assess trends, and analyze and interpret moderately complex results.
Develop data dictionaries and source-to-target mapping documentation to improve data usability.
Apply data science techniques, such as logistic regression, machine learning, or forecasting, where appropriate for more advanced insights.
Collaborate with business intelligence and data science team members.
Participate in project planning and Agile/Kanban stand-ups.
Document findings and present insights clearly through effective written, verbal, and visual communication.
Perform research and exploratory analysis on competitive intelligence and emerging trends in mobile banking using quantitative and/or qualitative methods.
Explore datasets using available technologies and tools.
Write SQL or Python code to summarize and analyze data.
Group data, assess trends, and analyze and interpret moderately complex results.
Develop data dictionaries and source-to-target mapping documentation to improve data usability.
Apply data science techniques, such as logistic regression, machine learning, or forecasting, where appropriate for more advanced insights.
Collaborate with business intelligence and data science team members.
Participate in project planning and Agile/Kanban stand-ups.
Document findings and present insights clearly through effective written, verbal, and visual communication.
| Location | Vienna, VA |
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