Summer Associate Internship (Business Intelligence Analyst)

The Credit Risk Insights & Analysis team consists of analysts and data scientists who develop analytical solutions and recommend strategies that support managing the credit risk of Lending portfolios while also best serving members.

The team is looking for a Business Intelligence Analyst Summer Associate to participate in projects and efforts related to enhanced analytics, dashboarding, or automation. The candidate should exhibit an instinct in problem solving as well as a curiosity about learning new analytical tools and business concepts.

Work includes but is not limited to: 

• Demonstrating the ability to take direction and work both collaboratively and independently on completing tasks.
• Providing independent analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization.

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.
 

• Use modern technologies like Python, R, Scala, and Spark to analyze large data sets
• Provide insights and solutions to solve business problems
• Manage and analyze big data to build impactful data models
• Evaluate and improve model design and performance
• Collaborate with team members and stakeholders to deliver solutions
• Transform data into useful formats for decision-making
• Create visualizations and dashboards to monitor trends
• Conduct model validations and assess performance
• Create reports to assist with business planning and strategy
• Lead initiatives to streamline or automate processes
• Develop and refine strategies for underwriting, pricing, and/or portfolio monitoring
   

• Currently pursuing an undergraduate or graduate degree in Data Science, Statistics, Economics, Mathematics, Computer Science, Engineering, or another quantitative field
• Ability to understand complex business problems and define analytical solutions
• Coding experience with Python, R, Scala, or Spark as well as SQL
• Ability to manipulate raw data within visualization tools to create effective dashboards that communicate end-to-end data outcomes visually
• Proficiency in storytelling with data skills
• Strong verbal, interpersonal and written communication skills
• Familiarity using GitHub for documentation and code collaboration purposes 
• Familiarity with Databricks 

Additional Information

Hours:

• Monday - Friday, 8:00 AM - 4:30 PM
   

Location:

• 820 Follin Lane, Vienna, VA 22180