Analyst II, Business Intelligence​/Data Analysis

About the Role & Team

As an Analyst II, Business Intelligence / Data Analysis within The People Office (TPO), you will play a key role in advancing FIS’s people analytics capabilities. This role is ideal for a recent graduate or early‑career professional looking to build expertise in data visualization, workforce analytics, and modern data platforms. You will support the development of interactive dashboards, translate HR and business data into actionable insights, and help scale analytics solutions using Power BI and Microsoft Fabric.

Working closely with cross‑functional partners, you’ll contribute to data‑driven decision‑making that impacts workforce strategy and organizational performance.

This is a hybrid position: 3 days onsite at our FIS office in Jacksonville, FL. Current and future sponsorship are not available for this position.

• Build and enhance interactive dashboards and reports using Power BI to support workforce and HR analytics.
• Assist in developing and maintaining data models using modern platforms such as Microsoft Fabric.
• Write and optimize SQL queries to extract and validate data from multiple HR and enterprise systems.
• Analyze datasets to identify key trends and insights related to workforce metrics (e.g., hiring, attrition, productivity).
• Support automation of recurring reporting and data processes to improve efficiency and data accuracy.
• Partner with business stakeholders to understand requirements and translate them into clear, actionable dashboards.
• Ensure data quality and integrity, including troubleshooting issues and supporting root‑cause analysis.
• Contribute to documentation of metrics, definitions, and reporting standards.
• Communicate insights through clear visual storytelling tailored to both technical and business audiences.
• Continuously learn and apply new tools and capabilities within the Microsoft analytics ecosystem.

• Bachelor’s degree in Business, Analytics, Data Science, Computer Science, or a related field.
• 1–2 years of experience (including internships/co‑op) in data analysis, business intelligence, or a related discipline.
• Hands‑on experience with Power BI (report building, basic DAX, data visualization best practices).
• Working knowledge of SQL and relational data concepts.
• Strong analytical mindset with attention to detail and data accuracy.
• Ability to communicate insights clearly and collaborate with cross‑functional teams.
• Demonstrated curiosity and willingness to learn new tools and technologies.

• Exposure to Microsoft Fabric, Azure, or cloud‑based data platforms.
• Experience working with HR systems (e.g., Workday) or people data.
• Familiarity with data modeling concepts such as star schemas, fact/dimension design.
• Experience with ETL/ELT or data transformation processes.
• Basic understanding of workforce or business performance metrics.
• Exposure to scripting languages such as Python is a plus.

Work on high‑impact people analytics initiatives that influence workforce strategy. Gain hands‑on experience with leading‑edge Microsoft technologies (Power BI, Fabric, Azure). Learn and grow within a collaborative, data‑driven team in The People Office. Build a strong foundation in analytics, visualization, and modern data platforms.

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here. For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test.

ADA Disclaimer:
In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case‑by‑case basis.