Capital One’s Analyst Internship Program (AIP) is the launchpad for a satisfying career in business or data analytics.
During the 10-week program, students can expect to complete meaningful work like building data visualization tools in AWS, performing campaign analysis on marketing plans and optimizing machine learning products. They’ll level up their business, problem solving and coding skills and, along the way, build relationships they can turn to for support beyond the internship.
Three AIP alumni, now working full-time at Capital One, share how their internship helped them launch their analyst careers successfully.
How Campbell completed real work that advanced financial inclusion
Campbell experienced a diverse mix of analyst responsibilities while completing her two Capital One internships.
In her first summer, she worked on a marketing campaign identifying which Capital One Auto Finance tools would best help customers increase their savings. In her second internship, Campbell worked with the Digital Customer Experience Innovation Team to analyze customer feedback and address how Capital One could optimize Auto Navigator, a tool customers use to pre-qualify for auto loans, explore financing options and search for vehicles in their preferred price range.
During her internships, Campbell analyzed the effectiveness of email marketing, used coding and worked on data within the cloud. She identified customer motivations, built customer personas and presented her insights to senior leaders.
“I came away with firm examples of how I drove a project forward as an intern,” Campbell said. “I can point to decisions that I brought to the table. It was pretty incredible to have those contributions. I knew I wanted to come back.”
Campbell was excited when she realized how much her internship prepared her for a full-time position through the Analyst Development Program (ADP), an 18-month experience where recent grads cycle through two positions with two teams. Currently, she’s a business analyst with the Financial Services Strategy team.
“Yes, you’re learning how to be an analyst, but in the eyes of your coworkers, you already are because you’re doing the work,” Campbell said. “That gives you so much confidence at the start of your career.”
How Solomon developed tech and financial skills to launch his career
Solomon was looking for an internship where he could merge a new experience working in tech with his studies in management and entrepreneurship. He found that perfect blend through the AIP.
As a business analyst intern, Solomon worked on a machine learning team where he built a dashboard for small business clients. While Solomon researched how to create the dashboard, he took the opportunity to expand some of his tech and business acumen. It was then that he learned the programming languages Python and SQL, explored how to use data visualization tools and learned to effectively pitch ideas.
“Tech is the future for the financial industry, and Capital One knows that,” Solomon said. “So I appreciated learning these programming and product manager skills to make me a better analyst.”
Now, Solomon uses the tech knowledge he developed as an intern for his full-time role with the ADP. As a business analyst on the Credit Card Innovation team, he assesses data, customer feedback and the latest technology to determine how to better protect Capital One’s card portfolios.
“If you’re interested in the intersection of technology and finance, Capital One is the place to be,” Solomon said. “With the internship, you get to work on real problems and learn new skills in an exciting and supporting environment.”
How Fozi built a supportive network to help him grow
As a data analyst intern with Capital One’s Servicing Data Strategy team, Fozi worked on predictive modeling to determine the likelihood a customer would close their Capital One card account.
While the work required a heavy amount of data analysis, Fozi knew he could do a better job if he incorporated machine learning. After discussing with his manager, they introduced Fozi to several data analysts and machine learning engineers who had experience and could help. Fozi’s new connections helped him infuse a machine learning model into the project so it would need less manual data entry to succeed long-term.
“Doing the work is one thing, but knowing how to build relationships and ask your network for help and guidance was a valuable skill I learned,” Fozi said.
In his current full-time role as a data analyst through the ADP, Fozi supports various Card teams by designing and maintaining data structures for campaigns. Rarely does a week go by where he doesn’t reach out to someone he met during his internship—whether a former manager, colleague or another intern—for everything from advice on building a strategy plan to getting other data analysts’ best practices.
“Capital One’s culture makes it so easy to build connections,” Fozi said. “I’ve realized that community building is how I’ve found success. That network I started building as an intern still provides me guidance and support.”
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