Analyst II, Business Intelligence / Data Analysis

About the role

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.

Responsibilities

• Build and enhance interactive dashboards and reports using Power BI to support workforce and HR analytics
• Aid 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

Requirements

• 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

Preferred Qualifications

• 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 (e.g., 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