Data Analysis - Analyst Program I

Fiserv•Alpharetta, GA

1d•Onsite

About The Position

The Fiserv Analyst Program is a two-year, early career development experience designed to accelerate your growth in the fintech industry. Through two structured assignments within a specific technology track, analysts gain hands-on experience, build technical and professional skills, and collaborate across teams to solve real business challenges. As a performance-driven company, Fiserv is committed to developing emerging talent and creating opportunities for those who demonstrate initiative, growth, and impact. The program includes formal training, mentorship, and exposure to senior leadership, supporting long-term career development within the organization. This specific Data Analysis track within the Analyst Program will give you opportunities in the analysis, management, and visualization of data from across the firm.

Requirements

Recent graduate of a bachelor's degree completed in December 2024 or after in Computer Science, Data Science, Management Information Systems, Cybersecurity, Technical Project Management, or other Technology Degrees
3.0+ GPA
0-2 years of professional work experience

Nice To Haves

Familiarity with Python, SQL, PowerBi, Tableau, and other relevant technologies.
Knowledge of Banking transactions, Digital Payments, Bill pay transaction data, ACH Payments, Wire payments Card payment and/or Check Payment transactions.
Knowledge on time series analysis, Pattern analysis and outlier detection.
Technology experience either through internships or coursework.
Excellent written and verbal communication.
Detail oriented with excellent organization skills.
Ability to handle diverse workloads and multiple deadlines.
Experience in Excel and PowerPoint, and have a technical aptitude to learn new applications quickly.

Responsibilities

Participate in complex projects that will have significant outcomes on the business.
Work collaboratively to develop premier solutions for our internal and external partners.
Maintain integrity and performance of company databases.
Ensure data confidentiality, quality, and security.
Analyze large data sets and present findings for business leaders to make informed decisions.
Working with Product teams and developing data commerce products.