Summer Internship - Data Analyst (Irving, TX)

FiservIrving, TX
3dOnsite

About The Position

Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Summer Internship - Data Analyst (Irving, TX) Secure the future of fintech. Build yours at Fiserv. Join Fiserv’s 10-week Technology Summer Internship Program from June 1, 2026 – August 7, 2026, and gain hands-on experience in application development. What does a successful Data Analyst Intern do? A successful Data Analyst Intern at Fiserv works with large datasets, deriving insights and providing data-driven solutions. By joining our team, you'll develop your analytical skills and gain valuable experience working with advanced data tools and technologies.

Requirements

  • Actively pursuing a bachelor's degree with an expected graduation between December 2026 and June 2028 in Computer Science, Data Science, Management Information Systems, or other Technology Degrees
  • 3.0+ GPA.
  • Applicants must have unrestricted work authorization and should not require future sponsorship
  • 0-2 years of professional work experience

Nice To Haves

  • Knowledge of programming languages such as Python, R, SQL.
  • Experience with data visualization tools like PowerBI or Tableau.
  • Advanced knowledge of Excel and PowerPoint.
  • Experience working in a fast-paced environment and flexibility to changing priorities.
  • Military-Affiliated applicants encouraged to apply (Veterans, Military Spouses, and Guard/Reservists).

Responsibilities

  • Work with senior analysts on data collection, cleaning, and analysis.
  • Assist in creating data visualizations to communicate findings.
  • Participate in data governance and quality assurance efforts.
  • Support ongoing documentation of data processes.
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