Business Intelligence/Data Analyst I, FIS University Program

FIS Global•Jacksonville, FL

About The Position

This is an early‑career role for someone passionate about data, AI, and people strategy. As part of the FIS University (FISU) Full‑Time Program, this role offers hands‑on experience at the intersection of analytics and Human Resources, with exposure to how workforce data and AI‑enabled insights shape decisions across a global organization. You will work on real‑world, high‑impact analytics initiatives, including the development and optimization of enterprise dashboards, advanced workforce cost modeling, and scenario planning that directly inform leadership decision‑making. You will complete 6–8 month rotations across key areas of the People Office, contributing to real workforce initiatives while building a strong foundation in people analytics, planning, and data strategy. This role is ideal for someone curious, analytical, and motivated by the impact that data can have on organizational outcomes. This role sits within the People Analytics & Workforce Planning team in The People Office (TPO). The team designs and delivers analytical insights that support enterprise‑level talent strategies, workforce planning, and organizational health across FIS. The team partners closely with leaders across TPO and the broader business to: Enable data‑driven workforce planning and capacity decisions, Deliver scalable dashboards and analytics used by leaders globally, Support strategic initiatives across talent acquisition, compensation, benefits, learning, and systems, Advance FIS’s data and AI strategy within the People Office. You’ll work alongside analysts, workforce planners, and product partners who are focused on turning complex people data into clear, actionable insights that inform how FIS hires, develops, and supports its workforce.

Requirements

Bachelor’s degree in Analytics, Data Science, Business, Economics, HR, Statistics, Computer Science, or a related field.
Strong interest in data, analytics, AI, and human resources.
Experience or academic exposure to SQL, Python, and/or Power BI.
Fluent in English; Strong written and verbal communication skills, with the ability to explain insights clearly
Ability to work with complex datasets and implement consistent, well‑structured analytical logic
Curiosity, adaptability, and a strong desire to learn in a fast‑paced environment
Ability to work independently and collaboratively within a team

Nice To Haves

Exposure to people analytics, workforce planning, or HR data through internships, coursework, or projects.
Experience working with HR systems (e.g., Workday) or large, complex datasets.
Familiarity with forecasting, statistical analysis, or data visualization best practices.
Interest in how AI and automation can enhance workforce insights and decision‑making.
A passion for using data to improve employee experience and organizational outcomes.

Responsibilities

Supporting various People Office team’s analytics and reporting needs including: Talent Acquisition, Compensation, Benefits, HR Systems, and Learning
Analyze workforce and people data to uncover trends and insights related to hiring, retention, mobility, skills, and capacity planning.
Build and maintain dashboards, reports, and analytical models using SQL, Python, and Power BI.
Support workforce forecasting, scenario modeling, and planning efforts that inform business and HR decision‑making.
Partner with stakeholders to translate business questions into clear, data‑driven insights and recommendations.
Contribute to initiatives that advance data, AI, and analytics strategy across the People Office.
Develop strong storytelling skills by presenting insights through clear visuals and concise narratives.

Benefits

Competitive salary and excellent benefits
The chance to work on some of the most challenging, relevant issues in financial services & technology
A broad range of professional education and personal development possibilities – FIS is your final career step!
Time to support charities and give back to your community
A work environment built on collaboration, flexibility, and respect
Student Loan Repayment Program: FIS will PAY OFF participants’ undergraduate loan balance over 10 years of service! Eligibility starts after one year of tenure in the program. The benefit applied to undergraduate student loans for US-based degrees and must be in the employee’s name.

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