Business Intelligence/data Analyst I, Fis University Program

Fidelity National Information Services

Competitive salary; not specified; benefits includ...
Not specified
Bachelor's degree in analytics or related field
Proficiency in sql, python, and power bi
Strong written and verbal communication skills
Fidelity National Information Services (FIS) is seeking a Business Intelligence/Data Analyst I for their University Program, targeting new graduates for a full-time role starting in June 2026. The position emphasizes hands-on experience in data analytics, particularly in Human Resources, and offers opportunities for professional development and community involvement

Job Summary

  • This two-year full-time program offers hands-on experience at the intersection of analytics and Human Resources within a global fintech organization.
  • Participants will build enterprise dashboards, perform advanced workforce cost modeling, and support strategic planning to inform leadership decision-making.
  • The role includes a Student Loan Repayment Program where FIS will pay off undergraduate loan balances over 10 years of service.

Matching Summary

Match Score: 85

Fidelity National Information Services (FIS) is seeking a Business Intelligence/Data Analyst I for their University Program, targeting new graduates for a full-time role starting in June 2026. The position emphasizes hands-on experience in data analytics, particularly in Human Resources, and offers opportunities for professional development and community involvement.

Salary

Competitive salary; Not specified; Benefits include student loan repayment program

Skills & Requirements

Must-have

  • Bachelor's degree in Analytics or related field
  • Proficiency in SQL, Python, and Power BI
  • Strong written and verbal communication skills

Nice-to-have

  • Experience with people analytics or HR data
  • Familiarity with forecasting and statistical analysis
  • Interest in AI and automation for workforce insights

Key Requirements

  • Bachelor's degree in Analytics, Data Science, Business, Economics, HR, Statistics, or Computer Science
  • Fluent in English with strong communication abilities
  • Eligibility for US-based employment (sponsorship not available)

Work Rights

Not specified

Tailored Resume

Cover Letter